Reference, fitted values plot

Stage 1

Submodel 1 - PF

\(\psi_{1}\)

\(\omega_{i}\)

rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
y_sigma[32] 0.4049907 0.1575613 13213 1.0005599 14195 16293 1 0.0013686 0.1671988 0.1885760 0.2366890 0.3751091 0.6095795 0.7930471 0.9249604 0.2090469 0.3751091 0.6991642 0.0015437 0.0012588 0.0010228 0.0014852 0.0031444 0.0058374 0.0094611 0.0009688
y_sigma[34] 0.5685531 0.0752289 20313 1.0004951 21189 16718 1 0.0005263 0.4199853 0.4387686 0.4774347 0.5627219 0.6665331 0.7331001 0.7748437 0.4562535 0.5627219 0.7008579 0.0014658 0.0011406 0.0007601 0.0006596 0.0013269 0.0023882 0.0037015 0.0003795
y_sigma[18] 0.2928007 0.0910578 14425 1.0003742 15543 15880 1 0.0007580 0.1487371 0.1627139 0.1934479 0.2767550 0.4122885 0.5154059 0.5788886 0.1755823 0.2767550 0.4646261 0.0007846 0.0007631 0.0007121 0.0007142 0.0022379 0.0037090 0.0061361 0.0005499
y_sigma[28] 0.3146886 0.0759340 15537 1.0003272 16199 17303 1 0.0006081 0.1812991 0.1959393 0.2277495 0.3049543 0.4130153 0.4905238 0.5400245 0.2106456 0.3049543 0.4538460 0.0007545 0.0010155 0.0006078 0.0007084 0.0014702 0.0025930 0.0039200 0.0004345
y_sigma[17] 0.3154576 0.0765348 16541 1.0003084 17761 17165 1 0.0005948 0.1830118 0.1974325 0.2282828 0.3048740 0.4165907 0.4930650 0.5446260 0.2116024 0.3048740 0.4555730 0.0008539 0.0007782 0.0005595 0.0005408 0.0015040 0.0024958 0.0040008 0.0004315
y_sigma[25] 0.5313465 0.0871278 25232 1.0003022 26390 17878 1 0.0005484 0.3660432 0.3860873 0.4273269 0.5226412 0.6460990 0.7262888 0.7763486 0.4050386 0.5226412 0.6880381 0.0013672 0.0014601 0.0009378 0.0007331 0.0013299 0.0024302 0.0042982 0.0003999
y_sigma[35] 0.6056152 0.1452297 18932 1.0003007 20436 17698 1 0.0010548 0.3542280 0.3791677 0.4381739 0.5861241 0.7964847 0.9498982 1.0328840 0.4070599 0.5861241 0.8741601 0.0017037 0.0018823 0.0011843 0.0010809 0.0027940 0.0053778 0.0060263 0.0007718
y_sigma[16] 0.3935710 0.0641590 21711 1.0003002 22326 18240 1 0.0004352 0.2683776 0.2845667 0.3165977 0.3876641 0.4786729 0.5353459 0.5693476 0.2988143 0.3876641 0.5067577 0.0007806 0.0011256 0.0005819 0.0005118 0.0011415 0.0022897 0.0019468 0.0003129
y_sigma[8] 0.4527207 0.1516072 14029 1.0002706 15370 17024 1 0.0012783 0.2142037 0.2367110 0.2882502 0.4266515 0.6534864 0.8202051 0.9320109 0.2594549 0.4266515 0.7382011 0.0010831 0.0011578 0.0011266 0.0013456 0.0035333 0.0050114 0.0098671 0.0009140
y_sigma[29] 0.2947255 0.0486035 22030 1.0002678 23589 17186 1 0.0003273 0.2038608 0.2149796 0.2371618 0.2896288 0.3589982 0.4034952 0.4308287 0.2248075 0.2896288 0.3819281 0.0007100 0.0006671 0.0004020 0.0003994 0.0008465 0.0013012 0.0019531 0.0002398
y_sigma[24] 0.5439248 0.1605304 16223 1.0002609 16737 17364 1 0.0012554 0.2513794 0.2824982 0.3554165 0.5254800 0.7564515 0.9079629 0.9995887 0.3161210 0.5254800 0.8356471 0.0033322 0.0015421 0.0014789 0.0013837 0.0026418 0.0057621 0.0059546 0.0009032
y_sigma[30] 0.5759301 0.1232663 20570 1.0002232 22347 18104 1 0.0008588 0.3531702 0.3784444 0.4333279 0.5612877 0.7364471 0.8603620 0.9434269 0.4022931 0.5612877 0.7977336 0.0018958 0.0016276 0.0012274 0.0009740 0.0022273 0.0039344 0.0063151 0.0006329
y_sigma[5] 0.5171299 0.0874198 23150 1.0002182 23834 17627 1 0.0005758 0.3482558 0.3691363 0.4125235 0.5094089 0.6325974 0.7096958 0.7613544 0.3893397 0.5094089 0.6737354 0.0012365 0.0010388 0.0007405 0.0006385 0.0015377 0.0025005 0.0036004 0.0004168
y_sigma[9] 0.2973329 0.0831277 14684 1.0002151 15682 17268 1 0.0006846 0.1599090 0.1736604 0.2048287 0.2842248 0.4065159 0.4946188 0.5515600 0.1873693 0.2842248 0.4517688 0.0009663 0.0006900 0.0006563 0.0007492 0.0018574 0.0030720 0.0048852 0.0004949
y_sigma[11] 0.4498545 0.1374919 14777 1.0002125 15800 16898 1 0.0011297 0.2212741 0.2449743 0.2946591 0.4277532 0.6343039 0.7762349 0.8633051 0.2666371 0.4277532 0.7082728 0.0017179 0.0011139 0.0010586 0.0012935 0.0031864 0.0050957 0.0083926 0.0008167
y_sigma[20] 0.5075613 0.0620349 25440 1.0001993 26657 18133 1 0.0003885 0.3846724 0.3998429 0.4321035 0.5028786 0.5888609 0.6423621 0.6746137 0.4147565 0.5028786 0.6176169 0.0009704 0.0007485 0.0006448 0.0004397 0.0009092 0.0013183 0.0021977 0.0002820
y_sigma[33] 0.7913456 0.1542643 23999 1.0001914 25125 17989 1 0.0009952 0.5015670 0.5368081 0.6098223 0.7743035 0.9958700 1.1438032 1.2315040 0.5701756 0.7743035 1.0691962 0.0024188 0.0017492 0.0015436 0.0012978 0.0025140 0.0055033 0.0061912 0.0007274
y_sigma[22] 0.6569191 0.1805358 18134 1.0001889 19335 17696 1 0.0013397 0.3523427 0.3829855 0.4530556 0.6304959 0.8933912 1.0853606 1.2039565 0.4137367 0.6304959 0.9925713 0.0021573 0.0015626 0.0014572 0.0014611 0.0034760 0.0068605 0.0072581 0.0009732
y_sigma[2] 0.7528571 0.1434088 23489 1.0001874 24767 19461 1 0.0009347 0.4854760 0.5180133 0.5860830 0.7354309 0.9417920 1.0782023 1.1637850 0.5485746 0.7354309 1.0113150 0.0024379 0.0016800 0.0012162 0.0011046 0.0020250 0.0046843 0.0070573 0.0006801
y_sigma[21] 0.4025778 0.1206825 16916 1.0001859 18223 17226 1 0.0009272 0.2050334 0.2245227 0.2689736 0.3832049 0.5619522 0.6916145 0.7753210 0.2444112 0.3832049 0.6271673 0.0012719 0.0011077 0.0010377 0.0010036 0.0024215 0.0042257 0.0077965 0.0006741
y_sigma[19] 0.4067589 0.0932904 20261 1.0001756 21308 19321 1 0.0006549 0.2395459 0.2584915 0.2980751 0.3952358 0.5293584 0.6215088 0.6776402 0.2761481 0.3952358 0.5773572 0.0010779 0.0008850 0.0006898 0.0007949 0.0013814 0.0028946 0.0054195 0.0004743
y_sigma[3] 0.6608743 0.1056893 25786 1.0001517 26711 18636 1 0.0006570 0.4548768 0.4825601 0.5333314 0.6518359 0.8004829 0.8924345 0.9477043 0.5062950 0.6518359 0.8477250 0.0017318 0.0014622 0.0009993 0.0007857 0.0014596 0.0034349 0.0042573 0.0004782
y_sigma[36] 0.4586970 0.0806892 20124 1.0001430 20910 18478 1 0.0005682 0.3023631 0.3228938 0.3625251 0.4507281 0.5651572 0.6372365 0.6821306 0.3400641 0.4507281 0.6033207 0.0011161 0.0010679 0.0008076 0.0006829 0.0014974 0.0023762 0.0033537 0.0004103
y_sigma[31] 0.4777512 0.0491240 24655 1.0001299 25353 18269 1 0.0003125 0.3772863 0.3907083 0.4174667 0.4744973 0.5423288 0.5832949 0.6070868 0.4031129 0.4744973 0.5630252 0.0008248 0.0007480 0.0004813 0.0003722 0.0007040 0.0012454 0.0017695 0.0002244
y_sigma[26] 0.5527617 0.1146133 19786 1.0000892 21513 17903 1 0.0008133 0.3484238 0.3712413 0.4198410 0.5383067 0.7036308 0.8175879 0.8900860 0.3937066 0.5383067 0.7597556 0.0019159 0.0010590 0.0009508 0.0008305 0.0016426 0.0043512 0.0059597 0.0005960
y_sigma[10] 0.7487888 0.2104680 20247 1.0000861 21716 18468 1 0.0014770 0.3849181 0.4259348 0.5069304 0.7180629 1.0277930 1.2413188 1.3675539 0.4617106 0.7180629 1.1384108 0.0024105 0.0017052 0.0016399 0.0014488 0.0033259 0.0052662 0.0099627 0.0010888
y_sigma[13] 0.5792424 0.0980142 21882 1.0000860 23121 18320 1 0.0006619 0.3923068 0.4150594 0.4629760 0.5701326 0.7073351 0.8000210 0.8557046 0.4358954 0.5701326 0.7535948 0.0011161 0.0017266 0.0009738 0.0007827 0.0015689 0.0025288 0.0040803 0.0004806
y_sigma[1] 0.4491797 0.0766045 22555 1.0000795 23693 17851 1 0.0005099 0.3031415 0.3219061 0.3586920 0.4412233 0.5497940 0.6209023 0.6635117 0.3385520 0.4412233 0.5860643 0.0011249 0.0009044 0.0007413 0.0006260 0.0011292 0.0025359 0.0033572 0.0003717
y_sigma[6] 0.5908365 0.0580770 26891 1.0000736 27601 18727 1 0.0003537 0.4705095 0.4865497 0.5195412 0.5875699 0.6666978 0.7156150 0.7436956 0.5011988 0.5875699 0.6930436 0.0011067 0.0009449 0.0005994 0.0004137 0.0009123 0.0011590 0.0017489 0.0002538
y_sigma[37] 0.6249406 0.1820748 19203 1.0000526 21529 18180 1 0.0013110 0.3196369 0.3502149 0.4201971 0.5975497 0.8641605 1.0492714 1.1721355 0.3826895 0.5975497 0.9590207 0.0021295 0.0016321 0.0011485 0.0013261 0.0036694 0.0061223 0.0114514 0.0009807
y_sigma[27] 0.4478527 0.0402409 26758 1.0000401 27248 17619 1 0.0002458 0.3625661 0.3750135 0.3981885 0.4455710 0.5003051 0.5331701 0.5512703 0.3859044 0.4455710 0.5173929 0.0007736 0.0007858 0.0003866 0.0003165 0.0006156 0.0008977 0.0015149 0.0001760
y_sigma[12] 0.4915610 0.0666789 24222 1.0000141 25088 18070 1 0.0004281 0.3611605 0.3775856 0.4109647 0.4859817 0.5787198 0.6370209 0.6738965 0.3930537 0.4859817 0.6081116 0.0008767 0.0008517 0.0006057 0.0005471 0.0010775 0.0014548 0.0028475 0.0003094
y_sigma[7] 0.2984980 0.0614647 18260 0.9999906 19098 18273 1 0.0004544 0.1846514 0.1981435 0.2270496 0.2917289 0.3802135 0.4383238 0.4716388 0.2109281 0.2917289 0.4097380 0.0011843 0.0007886 0.0005453 0.0005516 0.0010762 0.0020412 0.0036496 0.0003283
y_sigma[23] 0.5320372 0.1501385 17590 0.9999863 19103 18902 1 0.0011309 0.2776474 0.3062088 0.3635632 0.5096871 0.7284964 0.8877629 0.9921119 0.3311825 0.5096871 0.8087616 0.0017324 0.0015848 0.0010494 0.0011944 0.0029929 0.0046974 0.0083839 0.0008219
y_sigma[14] 0.7547405 0.1650562 24283 0.9999853 25703 18909 1 0.0010583 0.4497308 0.4872600 0.5625221 0.7366790 0.9713610 1.1306804 1.2304854 0.5210117 0.7366790 1.0512952 0.0023886 0.0019307 0.0012877 0.0012767 0.0027310 0.0051217 0.0069621 0.0007800
y_sigma[15] 0.4654444 0.0714692 20425 0.9999497 21192 19405 1 0.0004983 0.3268540 0.3438072 0.3796274 0.4587945 0.5594567 0.6233848 0.6618797 0.3599421 0.4587945 0.5937189 0.0011570 0.0008402 0.0006377 0.0004866 0.0012262 0.0017899 0.0033051 0.0003561
y_sigma[4] 0.6391682 0.1712105 18481 0.9999392 19640 18323 1 0.0012583 0.3355616 0.3682925 0.4401566 0.6175562 0.8650295 1.0357151 1.1343174 0.4000762 0.6175562 0.9506055 0.0021650 0.0021994 0.0014983 0.0015015 0.0029854 0.0053175 0.0066836 0.0009200

\(\beta_{0, i}\)

rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
beta_zero[34] 1.5700973 0.4335835 8062 1.0013503 8126 9743 1 0.0048195 0.4550359 0.6594542 1.0125113 1.5883642 2.1065365 2.3761188 2.5240353 0.8303167 1.5883642 2.2531313 0.0255055 0.0104241 0.0084533 0.0054782 0.0075041 0.0109367 0.0118386 0.0034080
beta_zero[25] 1.1271306 0.3448955 8834 1.0011061 8967 9430 1 0.0036635 0.2537166 0.4186094 0.6843414 1.1389389 1.5552080 1.7780094 1.9025012 0.5414966 1.1389389 1.6738715 0.0164081 0.0123163 0.0077349 0.0038449 0.0053650 0.0097088 0.0068852 0.0025906
beta_zero[33] 0.2356416 0.3946313 10734 1.0009240 10764 13875 1 0.0038022 -0.6810441 -0.5407009 -0.2615711 0.2305906 0.7411751 1.0170200 1.1741198 -0.4142424 0.2305906 0.8871009 0.0108594 0.0095029 0.0053309 0.0040819 0.0056701 0.0100297 0.0144315 0.0027479
beta_zero[4] 0.3437487 0.3699096 10478 1.0006860 10621 9995 1 0.0036066 -0.5965998 -0.4158549 -0.1216245 0.3515038 0.8031274 1.0622580 1.2197278 -0.2716119 0.3515038 0.9400793 0.0159310 0.0116334 0.0070750 0.0036451 0.0049438 0.0104078 0.0093333 0.0025503
beta_zero[36] 0.3646064 0.3092387 7299 1.0006856 7567 9375 1 0.0036127 -0.3498203 -0.2286994 -0.0157860 0.3550494 0.7607382 0.9992338 1.1345448 -0.1267398 0.3550494 0.8869208 0.0087896 0.0090487 0.0049254 0.0036411 0.0061895 0.0088616 0.0160623 0.0028478
beta_zero[22] 0.8517674 0.4893866 8652 1.0006809 9050 10726 1 0.0052439 -0.4514078 -0.2016028 0.1998185 0.8873977 1.4393086 1.7111397 1.8634812 -0.0119714 0.8873977 1.5913957 0.0203635 0.0141451 0.0111796 0.0056185 0.0058343 0.0080229 0.0155935 0.0037081
beta_zero[18] 0.3499016 0.4022814 8013 1.0006487 8101 8649 1 0.0044947 -0.5758987 -0.4144859 -0.1425464 0.3341302 0.8629901 1.1816910 1.3743500 -0.2830379 0.3341302 1.0276229 0.0128041 0.0109423 0.0057025 0.0046779 0.0099991 0.0134344 0.0194570 0.0036039
beta_zero[28] 0.5126291 0.2776869 8534 1.0005878 8842 8386 1 0.0030083 -0.2219811 -0.0770301 0.1640736 0.5277321 0.8445757 1.0335284 1.1519448 0.0404362 0.5277321 0.9403636 0.0176680 0.0109005 0.0058630 0.0031486 0.0049014 0.0081071 0.0097828 0.0021273
beta_zero[27] 1.2220789 0.2224611 8966 1.0005524 9051 10856 1 0.0023466 0.6791076 0.7728187 0.9398665 1.2249411 1.5030921 1.6480349 1.7369951 0.8487943 1.2249411 1.5811355 0.0097567 0.0059029 0.0038057 0.0023686 0.0028434 0.0055790 0.0069047 0.0016593
beta_zero[2] 0.6745042 0.4079461 10115 1.0005388 10135 13738 1 0.0040491 -0.3120998 -0.1314442 0.1547760 0.6787829 1.1913808 1.4698021 1.6150135 0.0050297 0.6787829 1.3351704 0.0169129 0.0094819 0.0060269 0.0047663 0.0057514 0.0094147 0.0124200 0.0028633
beta_zero[15] 1.9588344 0.3911611 7955 1.0005267 7996 9322 1 0.0043788 1.0650755 1.1989680 1.4615069 1.9540623 2.4627520 2.7368248 2.8832894 1.3213106 1.9540623 2.6113364 0.0109431 0.0092726 0.0062770 0.0054330 0.0079806 0.0097511 0.0124341 0.0031349
beta_zero[8] -0.0107232 0.3003684 12240 1.0004993 12353 14465 1 0.0027120 -0.6886917 -0.5753207 -0.3778323 -0.0229921 0.3711556 0.6199352 0.7669967 -0.4845453 -0.0229921 0.5015511 0.0084577 0.0062982 0.0040341 0.0026294 0.0051339 0.0070747 0.0149502 0.0021309
beta_zero[20] 1.5740428 0.3275909 8938 1.0004511 8941 10605 1 0.0034590 0.7916082 0.9209558 1.1608884 1.5736362 1.9858199 2.2164777 2.3402917 1.0295265 1.5736362 2.1089979 0.0119712 0.0089506 0.0061131 0.0034777 0.0056441 0.0091928 0.0123172 0.0024462
beta_zero[32] 0.4892083 0.3199848 9406 1.0004327 9628 11402 1 0.0032906 -0.3386131 -0.1862201 0.0726337 0.5075213 0.8738053 1.0806062 1.2138312 -0.0606932 0.5075213 0.9814303 0.0103258 0.0098105 0.0064331 0.0035787 0.0043501 0.0062735 0.0133218 0.0023269
beta_zero[5] 0.8971283 0.2772662 11016 1.0004230 11079 13024 1 0.0026388 0.2499338 0.3627029 0.5529133 0.8917218 1.2513874 1.4590118 1.5723682 0.4519168 0.8917218 1.3601594 0.0092433 0.0073337 0.0040730 0.0029220 0.0043428 0.0080173 0.0112882 0.0018954
beta_zero[37] 0.1798888 0.4423927 10400 1.0003862 10467 12791 1 0.0043352 -0.9285497 -0.7339829 -0.3875671 0.1966788 0.7212775 1.0164939 1.1767769 -0.5727131 0.1966788 0.8716060 0.0205558 0.0083558 0.0083976 0.0042014 0.0058391 0.0094445 0.0119360 0.0032505
beta_zero[7] 1.1135272 0.2686053 8017 1.0003726 8046 8796 1 0.0029986 0.4348529 0.5656340 0.7832173 1.1149520 1.4413540 1.6533787 1.7631246 0.6696043 1.1149520 1.5511286 0.0134704 0.0093758 0.0049365 0.0032180 0.0045635 0.0087348 0.0094320 0.0021204
beta_zero[9] 0.8941622 0.3298662 8703 1.0003716 8857 10101 1 0.0035316 0.1771459 0.2789636 0.4876855 0.8778902 1.3184139 1.5890107 1.7459943 0.3785068 0.8778902 1.4586110 0.0095362 0.0063719 0.0048946 0.0034890 0.0065705 0.0109158 0.0170818 0.0026082
beta_zero[10] 0.2144048 0.3935557 11233 1.0003703 11224 15767 1 0.0037082 -0.7359335 -0.5686510 -0.2845273 0.2155289 0.7092884 0.9862347 1.1375971 -0.4355413 0.2155289 0.8508678 0.0131190 0.0096664 0.0067614 0.0042393 0.0049988 0.0111004 0.0134203 0.0026222
beta_zero[31] 1.1068949 0.2945281 7826 1.0003349 8003 10283 1 0.0033200 0.4042111 0.5128317 0.7259078 1.1121850 1.4794318 1.6639165 1.7741388 0.6140370 1.1121850 1.5792351 0.0118603 0.0077631 0.0065821 0.0032729 0.0050950 0.0078145 0.0095060 0.0023477
beta_zero[26] 1.2602736 0.3514501 10206 1.0003125 10302 12474 1 0.0034784 0.3619494 0.5298335 0.8091254 1.2727667 1.6931523 1.9099901 2.0306812 0.6650325 1.2727667 1.8102227 0.0147354 0.0086796 0.0062930 0.0038337 0.0041806 0.0083341 0.0110208 0.0024596
beta_zero[16] 1.1555368 0.2195824 11055 1.0003072 11059 12697 1 0.0020883 0.6278740 0.7180630 0.8756585 1.1571992 1.4334444 1.5831649 1.6686892 0.7909427 1.1571992 1.5122971 0.0064433 0.0062538 0.0032072 0.0025074 0.0027835 0.0053919 0.0065694 0.0014833
beta_zero[29] 0.6797881 0.2737276 9362 1.0002902 9729 9735 1 0.0028266 -0.0454396 0.0903525 0.3224838 0.7005209 1.0084453 1.1784685 1.2703424 0.2019628 0.7005209 1.0980763 0.0129403 0.0114010 0.0057639 0.0029449 0.0034191 0.0055304 0.0084509 0.0019988
beta_zero[13] 1.0333215 0.2965261 11051 1.0002674 11184 12625 1 0.0028165 0.3032761 0.4242188 0.6490965 1.0414517 1.4032485 1.5962776 1.7050966 0.5330227 1.0414517 1.5058029 0.0107429 0.0092819 0.0051976 0.0029900 0.0045589 0.0066664 0.0072493 0.0019916
beta_zero[12] 1.8251013 0.2823494 10167 1.0002625 10278 12151 1 0.0027968 1.1125920 1.2471772 1.4569404 1.8334443 2.1793515 2.3583169 2.4491339 1.3449261 1.8334443 2.2725031 0.0102146 0.0075038 0.0049480 0.0028953 0.0038513 0.0056585 0.0060698 0.0019777
beta_zero[35] 0.4097029 0.3155363 11366 1.0002550 11500 12694 1 0.0029584 -0.4080274 -0.2421336 0.0059552 0.4234499 0.7967610 1.0029867 1.1185227 -0.1273800 0.4234499 0.9074926 0.0141483 0.0094687 0.0057672 0.0031272 0.0045167 0.0059753 0.0086009 0.0020919
beta_zero[11] -0.0982745 0.3658358 7995 1.0002456 8151 9384 1 0.0040897 -0.8987813 -0.7696510 -0.5438971 -0.1184220 0.3746081 0.6801617 0.8640018 -0.6608369 -0.1184220 0.5377617 0.0131491 0.0080150 0.0051843 0.0042740 0.0075004 0.0120099 0.0187963 0.0030683
beta_zero[24] -0.0146896 0.3346753 9959 1.0002338 9998 11851 1 0.0033522 -0.8335879 -0.6966567 -0.4387004 -0.0081749 0.4005487 0.6468740 0.7905604 -0.5766706 -0.0081749 0.5267811 0.0124118 0.0105949 0.0060078 0.0031816 0.0058133 0.0091615 0.0066056 0.0024833
beta_zero[21] 0.0308589 0.3796509 8375 1.0002298 8425 10493 1 0.0041441 -0.7894982 -0.6786272 -0.4465521 0.0170905 0.5246387 0.8100625 0.9709995 -0.5728650 0.0170905 0.6719160 0.0085912 0.0086235 0.0056693 0.0048053 0.0070491 0.0115953 0.0123073 0.0029674
beta_zero[3] 0.2528232 0.4455113 9638 1.0002294 9654 12557 1 0.0045356 -0.7895632 -0.6279567 -0.3228142 0.2536832 0.8193726 1.1137767 1.2708278 -0.4932860 0.2536832 0.9775257 0.0141043 0.0089390 0.0070347 0.0052063 0.0077129 0.0106694 0.0141445 0.0032378
beta_zero[17] 0.3785609 0.2196192 9618 1.0002281 9731 11206 1 0.0022380 -0.1365805 -0.0447344 0.1104567 0.3733089 0.6580198 0.8335864 0.9325852 0.0296471 0.3733089 0.7523950 0.0084833 0.0068586 0.0030608 0.0023093 0.0038988 0.0063061 0.0092006 0.0016236
beta_zero[19] 1.2353035 0.3213983 9302 1.0001933 9319 11161 1 0.0033236 0.4671851 0.6110433 0.8381008 1.2315635 1.6406697 1.8851826 2.0211232 0.7232974 1.2315635 1.7703193 0.0159684 0.0105950 0.0042432 0.0035701 0.0051670 0.0095856 0.0112892 0.0023970
beta_zero[1] 0.8611469 0.2843270 9047 1.0001919 9071 10957 1 0.0029877 0.2170083 0.3195874 0.5023745 0.8550503 1.2278006 1.4435363 1.5584638 0.4073200 0.8550503 1.3346546 0.0084559 0.0075566 0.0038901 0.0027460 0.0043082 0.0076340 0.0101728 0.0021320
beta_zero[6] 0.2486439 0.2364874 10286 1.0001678 10278 12086 1 0.0023315 -0.3152490 -0.2217727 -0.0524718 0.2491620 0.5488335 0.7148830 0.7965206 -0.1422720 0.2491620 0.6332595 0.0050462 0.0060259 0.0039737 0.0026588 0.0038747 0.0058154 0.0055898 0.0017229
beta_zero[14] -0.2509875 0.3962976 10564 1.0000801 10536 13999 1 0.0038541 -1.1767780 -1.0326809 -0.7517339 -0.2502450 0.2490749 0.5331931 0.7052136 -0.8992065 -0.2502450 0.4031455 0.0092758 0.0087382 0.0062929 0.0042627 0.0055051 0.0095383 0.0137231 0.0027253
beta_zero[23] 0.0145958 0.3369377 10485 1.0000441 10550 12715 1 0.0032800 -0.7925460 -0.6573457 -0.4118550 0.0145689 0.4396767 0.6765040 0.8262617 -0.5435560 0.0145689 0.5645891 0.0121184 0.0071341 0.0052169 0.0033583 0.0046296 0.0079575 0.0153063 0.0023979
beta_zero[30] 1.1117818 0.3859359 10049 0.9999718 10200 12258 1 0.0038465 0.1482539 0.3064978 0.6114240 1.1297574 1.5966555 1.8195149 1.9360086 0.4465622 1.1297574 1.7169269 0.0144212 0.0125195 0.0070722 0.0041952 0.0052784 0.0067006 0.0100494 0.0027199

\(\boldsymbol{\zeta}_{i}\)

There are too many of these to look at, so each time we re-run this file we’ll look at a different individual.

rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
spline_coef[10,5] -0.3887284 0.6032023 11426 1.000483 11587 15753 1 0.0056070 -1.7896314 -1.5474613 -1.1490657 -0.3960571 0.3762171 0.8259066 1.065411 -1.3611167 -0.3960571 0.6152989 0.0203925 0.0144391 0.0083532 0.0060198 0.0086750 0.0124090 0.0171452 0.0039648
spline_coef[10,2] 0.0609050 0.5138071 13249 1.000350 13289 16799 1 0.0044579 -1.1698796 -0.9604876 -0.6012594 0.0633625 0.7142294 1.0615593 1.248721 -0.7930244 0.0633625 0.9002461 0.0090471 0.0109717 0.0071167 0.0053394 0.0066384 0.0096094 0.0130133 0.0031523
spline_coef[10,4] -0.2169524 0.6000033 12536 1.000271 12552 15472 1 0.0053514 -1.6142464 -1.3988178 -0.9833286 -0.2224015 0.5478579 0.9745765 1.199526 -1.1958070 -0.2224015 0.7743582 0.0174053 0.0095334 0.0088095 0.0054478 0.0098107 0.0121173 0.0168960 0.0037841
spline_coef[10,8] -0.3858796 0.8221215 12563 1.000225 12608 15072 1 0.0073301 -2.3640205 -2.0353075 -1.4410314 -0.3762891 0.6609860 1.2018656 1.463196 -1.7598044 -0.3762891 0.9503916 0.0252412 0.0189560 0.0113122 0.0088142 0.0109594 0.0184872 0.0204511 0.0053296
spline_coef[10,1] 0.0129236 0.4217718 15865 1.000209 15927 18288 1 0.0033420 -0.9530087 -0.8044056 -0.5241370 0.0132287 0.5520101 0.8490272 1.010691 -0.6751068 0.0132287 0.7090534 0.0083393 0.0073470 0.0045818 0.0037855 0.0060667 0.0120354 0.0100041 0.0023632
spline_coef[10,6] -0.3117435 0.6444004 11637 1.000201 11679 14908 1 0.0059628 -1.8659598 -1.6060018 -1.1331021 -0.3028213 0.5034306 0.9416452 1.200738 -1.3829663 -0.3028213 0.7301870 0.0270981 0.0132825 0.0109733 0.0063261 0.0091873 0.0160687 0.0170299 0.0042165
spline_coef[10,3] -0.0489909 0.5813554 13171 1.000190 13210 16748 1 0.0050563 -1.4057499 -1.1869879 -0.7996570 -0.0483708 0.6928829 1.0939064 1.295945 -1.0121300 -0.0483708 0.9022702 0.0180135 0.0106155 0.0084887 0.0059835 0.0073877 0.0133931 0.0138777 0.0035754
spline_coef[10,10] 0.0325825 0.8597039 12875 1.000144 13114 14461 1 0.0075605 -2.2618578 -1.8360023 -1.0916045 0.0930945 1.0626362 1.5746916 1.866592 -1.4716930 0.0930945 1.3317163 0.0338431 0.0265275 0.0147873 0.0082386 0.0096668 0.0175675 0.0195749 0.0053462
spline_coef[10,9] -0.2106336 0.8621465 12607 1.000129 12688 14765 1 0.0076804 -2.3683991 -1.9630065 -1.3166379 -0.1865856 0.8649536 1.4210432 1.721860 -1.6682071 -0.1865856 1.1586061 0.0307903 0.0235808 0.0101339 0.0081262 0.0107140 0.0139904 0.0274158 0.0055855
spline_coef[10,7] -0.3298112 0.7366331 11817 1.000112 11862 15379 1 0.0067700 -2.1337114 -1.8089143 -1.2705859 -0.3164104 0.5968534 1.0878956 1.367210 -1.5652510 -0.3164104 0.8492637 0.0238989 0.0191025 0.0104140 0.0081662 0.0099331 0.0134390 0.0202177 0.0048193

\(\phi_{1 \cap 2}\)

Event times \(T_{i}\)

rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
event_time[34] 1.474098 3.2385465 9808 1.0008929 13682 24995 1 0.0326341 0.0744798 0.0901803 0.146744 0.3113832 10.352616 10.352616 10.352616 0.1130414 0.3113832 10.352616 0.0007464 0.0012078 0.0012780 0.0017065 NA NA NA 0.0231785
event_time[6] 19.391247 0.6897350 26875 1.0004779 28712 18573 1 0.0041957 17.7297383 18.0795638 18.617674 19.4236301 20.152749 20.552946 20.793379 18.3292905 19.4236301 20.369304 0.0330524 0.0218941 0.0089259 0.0038020 0.0055396 0.0101745 0.0144093 0.0029669
event_time[9] 5.850500 0.3853837 27161 1.0003758 26877 24995 1 0.0023358 5.0598065 5.1902488 5.399483 5.7584191 6.378426 6.378426 6.378426 5.2939733 5.7584191 6.378426 0.0078361 0.0078666 0.0030031 0.0031495 NA NA NA 0.0016522
event_time[35] 7.805799 0.5785704 21459 1.0003294 19647 24995 1 0.0039477 6.0323274 7.3157929 7.886319 7.8863194 7.886319 7.886319 7.886319 7.6842511 7.8863194 7.886319 0.2704853 0.0306195 NA NA NA NA NA 0.0028174
event_time[19] 4.537494 0.3029192 23336 1.0003288 27119 20048 1 0.0019806 3.0264875 3.7142679 4.284771 4.5855055 4.789993 4.914828 5.029349 4.1166230 4.5855055 4.850535 0.0215157 0.0376705 0.0043343 0.0013407 0.0017523 0.0039941 0.0063430 0.0014005
event_time[11] 5.658182 0.5973847 16944 1.0002388 18712 24995 1 0.0045844 2.8752057 3.3296033 5.681828 5.8034259 5.803426 5.803426 5.803426 4.8819118 5.8034259 5.803426 0.0232623 0.0407249 0.0041503 NA NA NA NA 0.0032417
event_time[17] 8.790891 0.2223975 30216 1.0002191 31481 19302 1 0.0012784 8.2514443 8.3592164 8.529743 8.7974143 9.041720 9.188027 9.291104 8.4406051 8.7974143 9.116333 0.0071344 0.0047169 0.0025929 0.0013539 0.0023419 0.0045174 0.0088432 0.0009040
event_time[2] 4.401564 0.1351377 20652 1.0002144 19229 24995 1 0.0009394 4.3127743 4.4138889 4.413889 4.4138889 4.413889 4.413889 4.413889 4.4138889 4.4138889 4.413889 0.0409326 NA NA NA NA NA NA 0.0006693
event_time[8] 4.933803 0.2026161 18196 1.0001896 18587 24995 1 0.0015010 4.5179431 4.5850156 4.690451 4.9167452 5.248611 5.248611 5.248611 4.6346410 4.9167452 5.248611 0.0053530 0.0031563 0.0017182 0.0018886 NA NA NA 0.0010795
event_time[20] 3.118336 0.2444414 28020 1.0001767 28535 19067 1 0.0014583 2.5463401 2.6529912 2.822540 3.1134886 3.425228 3.601427 3.698826 2.7345048 3.1134886 3.518813 0.0058993 0.0059413 0.0027605 0.0017899 0.0030407 0.0049610 0.0074251 0.0010411
event_time[16] 10.902313 0.2448756 25440 1.0001713 28548 24995 1 0.0015341 10.2992870 10.4209332 10.618161 10.9140162 11.186111 11.186111 11.186111 10.5155896 10.9140162 11.186111 0.0129485 0.0067777 0.0034399 0.0015759 NA NA NA 0.0010848
event_time[32] 3.369441 0.1500526 20771 1.0001578 20984 24995 1 0.0010398 2.9656200 3.0601598 3.197174 3.3669586 3.582297 3.635891 3.635891 3.1313789 3.3669586 3.635891 0.0082869 0.0044107 0.0019122 0.0010344 0.0046967 NA NA 0.0007426
event_time[31] 1.322194 0.2365260 29621 1.0001411 29977 18788 1 0.0013716 0.7765581 0.8758991 1.041876 1.3298035 1.584518 1.710064 1.779734 0.9528442 1.3298035 1.649873 0.0084425 0.0043651 0.0033655 0.0014885 0.0024857 0.0030685 0.0044255 0.0010031
event_time[1] 4.770359 0.4307685 29389 1.0001163 29923 20622 1 0.0025014 3.7315408 3.9173765 4.236939 4.7780741 5.287563 5.575369 5.769177 4.0717876 4.7780741 5.435390 0.0180967 0.0090593 0.0049545 0.0031039 0.0050467 0.0116665 0.0154494 0.0017790
event_time[26] 1.617874 0.3313349 26151 1.0001100 29465 20594 1 0.0020469 1.0874030 1.2019199 1.350862 1.5861229 1.867081 2.136430 2.744182 1.2775983 1.5861229 1.986824 0.0078457 0.0046373 0.0020260 0.0013195 0.0034710 0.0125065 0.1037588 0.0015118
event_time[12] 3.045694 0.5380559 30447 1.0001020 30699 20981 1 0.0030804 1.8747703 2.0499335 2.381722 3.0222260 3.743123 4.156656 4.387361 2.2017430 3.0222260 3.957447 0.0161229 0.0093924 0.0060879 0.0036988 0.0060425 0.0101706 0.0153725 0.0022114
event_time[28] 4.078935 0.3513552 17503 1.0000910 30044 18573 1 0.0026547 3.5097848 3.6234514 3.785702 4.0750272 4.381863 4.631893 4.863012 3.6995861 4.0750272 4.502041 0.0135432 0.0054172 0.0026453 0.0016103 0.0040792 0.0082900 0.0210406 0.0018772
event_time[37] 8.632585 0.1411522 21060 1.0000709 22768 24995 1 0.0009714 8.0260795 8.2019789 8.458493 8.6915278 8.691528 8.691528 8.691528 8.3273148 8.6915278 8.691528 0.0130353 0.0081631 0.0035301 NA NA NA NA 0.0006869
event_time[33] 6.170386 0.6468530 20385 1.0000546 20345 24995 1 0.0045244 3.6251886 4.2259157 5.298409 6.4818750 6.481875 6.481875 6.481875 4.7501712 6.4818750 6.481875 0.0378528 0.0341425 0.0163393 NA NA NA NA 0.0032061
event_time[15] 1.472241 0.1813966 28161 1.0000420 28824 20402 1 0.0010786 0.9950671 1.0951722 1.247008 1.4777852 1.695005 1.811916 1.881216 1.1710459 1.4777852 1.758765 0.0076550 0.0048522 0.0027444 0.0012434 0.0022156 0.0031383 0.0057922 0.0007627
event_time[21] 4.234501 0.0015218 25007 1.0000394 25006 24995 1 0.0000096 4.2345139 4.2345139 4.234514 4.2345139 4.234514 4.234514 4.234514 4.2345139 4.2345139 4.234514 NA NA NA NA NA NA NA 0.0000068
event_time[36] 4.712191 0.4863510 14777 1.0000266 28936 18566 1 0.0040026 2.8462637 4.2111177 4.476167 4.7743708 4.996859 5.127296 5.203502 4.3544789 4.7743708 5.065301 0.2145518 0.0141281 0.0035549 0.0013069 0.0022392 0.0031019 0.0057788 0.0028303
event_time[25] 5.057511 0.7518567 21654 1.0000256 25166 19920 1 0.0050990 3.4061729 3.8117116 4.298485 5.0014060 5.919582 6.837854 7.247736 4.0525418 5.0014060 6.371314 0.0320416 0.0156235 0.0072552 0.0036545 0.0133269 0.0225727 0.0248935 0.0036056
event_time[10] 3.442917 0.0067224 19531 1.0000171 20463 24995 1 0.0000481 3.4430556 3.4430556 3.443056 3.4430556 3.443056 3.443056 3.443056 3.4430556 3.4430556 3.443056 NA NA NA NA NA NA NA 0.0000342
event_time[13] 13.896044 5.3681417 23843 1.0000101 21872 24995 1 0.0347312 4.5424123 4.7467481 5.344434 17.3153838 17.785417 17.785417 17.785417 4.9902720 17.3153838 17.785417 0.0130701 0.0138386 0.0119445 0.0102798 NA NA NA 0.0246082
event_time[5] 23.959685 3.0227007 23607 1.0000059 23293 24995 1 0.0196613 15.6529763 16.5772051 19.026724 25.9132292 25.913229 25.913229 25.913229 17.7497600 25.9132292 25.913229 0.0529833 0.0706358 0.0446882 NA NA NA NA 0.0139028
event_time[3] 10.051353 0.0001749 25005 1.0000000 25010 24995 1 0.0000011 10.0513542 10.0513542 10.051354 10.0513542 10.051354 10.051354 10.051354 10.0513542 10.0513542 10.051354 NA NA NA NA NA NA NA 0.0000008
event_time[24] 3.978057 1.5276316 19222 0.9999909 21462 12746 1 0.0110030 0.0770434 0.1286186 2.500202 3.9364829 5.854356 7.300997 7.510231 0.3173437 3.9364829 6.677016 0.0018223 0.0039234 0.0190251 0.0113610 0.0244076 0.0326258 NA 0.0077804
event_time[30] 1.544590 0.3695422 25234 0.9999861 26465 20243 1 0.0023228 0.4795852 0.7132752 1.045248 1.6016136 1.944878 2.106529 2.218278 0.8706077 1.6016136 2.028991 0.0333960 0.0100909 0.0052216 0.0022116 0.0026561 0.0045652 0.0065692 0.0016609
event_time[27] 10.085888 0.8444613 28800 0.9999805 30818 19958 1 0.0049637 7.5864519 8.0742064 8.945568 10.2116762 11.044783 11.375582 11.554631 8.5113095 10.2116762 11.236397 0.0317595 0.0237756 0.0139717 0.0058524 0.0060747 0.0075524 0.0115939 0.0035099
event_time[22] 3.679337 0.0003833 25007 0.9999778 25012 24995 1 0.0000024 3.6793403 3.6793403 3.679340 3.6793403 3.679340 3.679340 3.679340 3.6793403 3.6793403 3.679340 NA NA NA NA NA NA NA 0.0000017
event_time[29] 5.865865 0.9636146 27692 0.9999531 26133 24995 1 0.0057697 4.6434516 4.7368508 4.932475 5.4408305 7.362870 7.362870 7.362870 4.8251525 5.4408305 7.362870 0.0055027 0.0053214 0.0039944 0.0041824 NA NA NA 0.0040990
event_time[7] 3.642207 0.2796094 26765 0.9999404 28235 17790 1 0.0017066 2.9903006 3.1151765 3.313750 3.6348466 3.975114 4.197982 4.369565 3.2104669 3.6348466 4.089329 0.0102717 0.0060687 0.0032553 0.0016863 0.0034082 0.0083906 0.0131665 0.0012068
event_time[14] 13.294785 0.4328724 21848 0.9999246 22197 24995 1 0.0029283 13.3092593 13.3092593 13.309259 13.3092593 13.309259 13.309259 13.309259 13.3092593 13.3092593 13.309259 NA NA NA NA NA NA NA 0.0020707
event_time[18] 6.004759 0.5931055 20416 0.9999044 20339 24995 1 0.0041440 2.2143227 6.0977662 6.097766 6.0977662 6.097766 6.097766 6.097766 6.0977662 6.0977662 6.097766 0.0159044 NA NA NA NA NA NA 0.0029303
event_time[4] 4.594348 1.4096224 24367 0.9998838 23210 24995 1 0.0090261 1.6047455 1.9667979 2.570964 5.6999190 5.699919 5.699919 5.699919 2.2508451 5.6999190 5.699919 0.0371179 0.0159185 0.0084956 NA NA NA NA 0.0063825
event_time[23] 12.594430 0.5501470 24632 0.9998484 24942 24995 1 0.0035028 10.9357483 11.1832899 11.663934 12.9256944 12.925694 12.925694 12.925694 11.3952934 12.9256944 12.925694 0.0161410 0.0105024 0.0094664 NA NA NA NA 0.0024769

Event indicators \(d_{i}\)

rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
event_indicator[34] 0.8826965 0.3217880 9718 1.0008464 9758 24995 1 0.0032575 0 0 0 1 1 1 1 0 1 1 0 0 0 NA NA NA NA 0.0023035
event_indicator[35] 0.0903381 0.2866712 20064 1.0003286 20068 24995 1 0.0020236 0 0 0 0 0 1 1 0 0 1 0 0 0 0 0 NA NA 0.0014310
event_indicator[32] 0.9230646 0.2664942 16378 1.0003161 16435 24995 1 0.0020787 0 0 1 1 1 1 1 0 1 1 0 0 NA NA NA NA NA 0.0014699
event_indicator[2] 0.0122825 0.1101457 18797 1.0002180 18840 18840 1 0.0008025 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0.0 NA 0.0005674
event_indicator[11] 0.2127225 0.4092412 20281 1.0001782 20292 24995 1 0.0028729 0 0 0 0 1 1 1 0 0 1 0 0 0 0 NA NA NA 0.0020315
event_indicator[37] 0.2593719 0.4382987 23883 1.0001590 23907 24995 1 0.0028347 0 0 0 0 1 1 1 0 0 1 0 0 0 0 NA NA NA 0.0020045
event_indicator[24] 0.9817564 0.1338340 21709 1.0001359 21721 24995 1 0.0009081 0 1 1 1 1 1 1 1 1 1 0 NA NA NA NA NA NA 0.0006421
event_indicator[8] 0.8664933 0.3401283 14163 1.0001157 14199 24995 1 0.0028544 0 0 0 1 1 1 1 0 1 1 0 0 0 NA NA NA NA 0.0020184
event_indicator[33] 0.3135027 0.4639260 21137 1.0000618 21212 24995 1 0.0031854 0 0 0 0 1 1 1 0 0 1 0 0 0 0 NA NA NA 0.0022524
event_indicator[21] 0.0001600 0.0126496 25011 1.0000445 25006 25006 1 0.0000800 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0 0.0000566
event_indicator[19] 0.9991598 0.0289741 25043 1.0000214 25050 24995 1 0.0001831 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA 0.0001294
event_indicator[10] 0.0007602 0.0275609 20735 1.0000212 20756 20756 1 0.0001913 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0 0.0001353
event_indicator[9] 0.7553111 0.4299112 23689 1.0000176 23777 24995 1 0.0027880 0 0 0 1 1 1 1 0 1 1 0 0 0 NA NA NA NA 0.0019715
event_indicator[1] 0.9999600 0.0063252 25005 1.0000000 25010 24995 1 0.0000400 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA 0.0000283
event_indicator[3] 0.0000400 0.0063252 25005 1.0000000 25010 25010 1 0.0000400 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0 0.0000283
event_indicator[6] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[7] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[12] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[15] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[17] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[20] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[25] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[27] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[31] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[36] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[22] 0.0000800 0.0089450 25008 0.9999778 25012 25012 1 0.0000566 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0 0.0000400
event_indicator[26] 0.9999200 0.0089450 25008 0.9999778 25012 24995 1 0.0000566 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA 0.0000400
event_indicator[16] 0.8180036 0.3858493 20319 0.9999748 20329 24995 1 0.0027062 0 0 0 1 1 1 1 0 1 1 0 0 0 NA NA NA NA 0.0019136
event_indicator[30] 0.9996399 0.0189725 20466 0.9999704 20469 24995 1 0.0001326 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA 0.0000938
event_indicator[29] 0.7392278 0.4390646 24752 0.9999487 24900 24995 1 0.0027824 0 0 0 1 1 1 1 0 1 1 0 0 0 NA NA NA NA 0.0019675
event_indicator[13] 0.6568914 0.4747569 23668 0.9999364 23686 24995 1 0.0030848 0 0 0 1 1 1 1 0 1 1 0 0 0 NA NA NA NA 0.0021813
event_indicator[5] 0.3411882 0.4741179 23406 0.9999331 23435 24995 1 0.0030971 0 0 0 0 1 1 1 0 0 1 0 0 0 0 NA NA NA 0.0021900
event_indicator[14] 0.0011602 0.0340431 22014 0.9999142 22017 22017 1 0.0002294 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0 0.0001622
event_indicator[18] 0.0244849 0.1545521 20616 0.9999062 20666 20666 1 0.0010751 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0.5 NA 0.0007602
event_indicator[28] 0.9994399 0.0236605 25032 0.9999016 25037 24995 1 0.0001495 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA 0.0001057
event_indicator[4] 0.4597720 0.4983890 22772 0.9998690 22891 24995 1 0.0032941 0 0 0 0 1 1 1 0 0 1 0 0 0 0 NA NA NA 0.0023293
event_indicator[23] 0.3675135 0.4821376 25543 0.9998615 25569 24995 1 0.0030152 0 0 0 0 1 1 1 0 0 1 0 0 0 0 NA NA NA 0.0021321

Submodel 3 - Fluids

\(\phi_{2 \cap 3}\)

Breakpoint \(\kappa\)

rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
breakpoint[31] 9.988812 2.6926040 472 1.0056821 1055 1099 1 0.1234446 2.9800974 3.2318303 3.9884801 10.894829 12.214164 12.726892 12.983814 3.4993986 10.894829 12.488541 0.0250987 0.0367307 0.2089955 0.0283955 0.0117901 0.0126203 0.0092531 0.0873421
breakpoint[27] 7.518293 5.3835726 706 1.0040329 1223 587 1 0.2047516 2.6507128 2.9106394 3.3974288 5.025306 16.965588 20.115039 25.039766 3.1196509 5.025306 18.571366 0.0147252 0.0150911 0.0096632 0.0657480 0.2312747 0.8968209 2.5227724 0.1756259
breakpoint[28] 4.001449 1.5382055 8789 1.0008220 8155 4649 1 0.0163553 0.7846404 1.0073603 1.7408891 4.310218 5.799657 6.400961 6.698800 1.2712427 4.310218 6.120664 0.0269678 0.0364887 0.0319400 0.0227534 0.0127859 0.0205512 0.0259442 0.0115653
breakpoint[17] 4.938205 0.0825540 25946 1.0005504 26617 17569 1 0.0005121 4.7492550 4.7795134 4.8345665 4.936992 5.041350 5.103557 5.146054 4.8041731 4.936992 5.072723 0.0020777 0.0016347 0.0009537 0.0005508 0.0010302 0.0022323 0.0041132 0.0003629
breakpoint[7] 4.724931 0.2603514 26280 1.0004981 27704 15262 1 0.0016049 4.1046761 4.2165759 4.4054467 4.722567 5.045910 5.248877 5.373930 4.3077196 4.722567 5.152125 0.0077717 0.0053641 0.0029035 0.0018673 0.0039012 0.0065857 0.0103976 0.0011469
breakpoint[33] 2.649478 0.1118853 20828 1.0004054 22571 15406 1 0.0007744 2.3946630 2.4387798 2.5168743 2.644245 2.793334 2.894264 2.949430 2.4748237 2.644245 2.850232 0.0030746 0.0018038 0.0015115 0.0007147 0.0024961 0.0029027 0.0049622 0.0005546
breakpoint[20] 1.420719 1.0539049 3049 1.0004053 10096 5423 1 0.0190573 0.5902506 0.6474829 0.7644396 1.143020 2.203893 3.898332 6.938598 0.7003388 1.143020 2.888441 0.0053623 0.0030463 0.0021538 0.0038144 0.0283364 0.2636613 0.5853082 0.0153419
breakpoint[19] 2.987391 0.4183149 15403 1.0003964 18173 11205 1 0.0033665 1.8455700 2.0294556 2.4101974 3.038594 3.471166 3.682241 3.807492 2.2068940 3.038594 3.585948 0.0131403 0.0135450 0.0094213 0.0031989 0.0039881 0.0052471 0.0098787 0.0023805
breakpoint[10] 2.040142 0.3188459 16365 1.0003726 16626 12047 1 0.0024914 1.3439250 1.4435808 1.6316890 2.035916 2.441401 2.680611 2.784630 1.5371070 2.035916 2.578673 0.0058515 0.0047086 0.0029623 0.0025926 0.0042930 0.0081567 0.0117944 0.0018080
breakpoint[30] 2.012674 0.2929056 11751 1.0003645 13320 11779 1 0.0026956 1.2450941 1.3611471 1.6247536 2.046141 2.325228 2.562460 2.742095 1.4869086 2.046141 2.430917 0.0070947 0.0073181 0.0051948 0.0020108 0.0028984 0.0098116 0.0283942 0.0019284
breakpoint[22] 1.959156 0.6504451 11166 1.0003472 10610 7423 1 0.0061444 0.5758693 0.6946471 1.0454303 1.985862 2.807805 3.139391 3.277582 0.8263348 1.985862 2.996086 0.0115059 0.0099272 0.0136981 0.0064380 0.0076574 0.0080494 0.0092498 0.0043449
breakpoint[1] 10.656097 0.2112822 27347 1.0003468 27261 18069 1 0.0012756 10.0981958 10.2131747 10.3849276 10.666048 10.916758 11.045175 11.117524 10.2973869 10.666048 10.985341 0.0105487 0.0057237 0.0031411 0.0017116 0.0027743 0.0034248 0.0046364 0.0009026
breakpoint[24] 5.710115 0.2470645 17080 1.0002842 23116 12453 1 0.0018897 4.9392116 5.1179620 5.3966256 5.744564 5.981128 6.096088 6.154653 5.2618823 5.744564 6.043781 0.0235084 0.0104323 0.0052912 0.0014983 0.0021558 0.0037463 0.0030868 0.0013362
breakpoint[36] 3.749497 0.3883888 10703 1.0002840 15153 9208 1 0.0037527 2.5132012 2.7284462 3.2400967 3.818373 4.158479 4.309047 4.394997 2.9595490 3.818373 4.236970 0.0200871 0.0175535 0.0112439 0.0032849 0.0021874 0.0047171 0.0054808 0.0026536
breakpoint[32] 2.175532 0.1619094 13736 1.0002757 17953 9526 1 0.0013806 1.7581818 1.8643932 2.0026503 2.168736 2.352332 2.552474 2.650220 1.9366514 2.168736 2.444795 0.0100016 0.0053723 0.0023050 0.0008875 0.0031110 0.0069661 0.0096673 0.0010010
breakpoint[11] 2.947652 0.7365704 13417 1.0002538 16322 7623 1 0.0063322 1.2814077 1.5719880 2.0719377 2.907744 3.874587 4.681396 5.047242 1.8223563 2.907744 4.296621 0.0225319 0.0169680 0.0092646 0.0049241 0.0192335 0.0337828 0.0401596 0.0051160
breakpoint[14] 4.030868 0.0869445 29230 1.0002538 29641 19341 1 0.0005084 3.8331373 3.8674479 3.9233722 4.028053 4.141637 4.211992 4.248336 3.8934243 4.028053 4.179497 0.0031905 0.0018017 0.0009248 0.0005986 0.0011478 0.0013180 0.0035883 0.0003603
breakpoint[18] 2.856915 0.1257106 22248 1.0002472 25012 14972 1 0.0008413 2.5645733 2.6176644 2.7101176 2.849989 3.008710 3.127496 3.208940 2.6616722 2.849989 3.070635 0.0050087 0.0034882 0.0015454 0.0008375 0.0019049 0.0040738 0.0073728 0.0006049
breakpoint[26] 4.860805 0.2966427 19842 1.0002164 19518 13062 1 0.0021034 4.1285595 4.2566895 4.4840784 4.869969 5.232895 5.422109 5.522478 4.3630690 4.869969 5.339175 0.0082765 0.0071045 0.0042825 0.0026858 0.0046293 0.0054749 0.0101452 0.0015092
breakpoint[15] 4.723580 0.2817690 27260 1.0002086 27899 18081 1 0.0017058 4.1007524 4.1961365 4.3727596 4.711047 5.088429 5.302522 5.415937 4.2757933 4.711047 5.203436 0.0057768 0.0044246 0.0032907 0.0019536 0.0037061 0.0075028 0.0089950 0.0012203
breakpoint[35] 4.429402 0.2364964 28682 1.0002064 29698 17496 1 0.0013928 3.8824574 3.9802053 4.1411686 4.425904 4.727405 4.913257 5.020722 4.0563779 4.425904 4.826262 0.0115407 0.0053224 0.0026443 0.0016421 0.0033580 0.0055509 0.0092007 0.0009937
breakpoint[8] 3.048159 0.6546749 11622 1.0001792 14177 7891 1 0.0060627 1.1234405 1.4322894 2.1954587 3.121041 3.762615 4.241992 4.512860 1.7653057 3.121041 4.010915 0.0387793 0.0360297 0.0205116 0.0040102 0.0071266 0.0187879 0.0227139 0.0042871
breakpoint[13] 10.046130 0.4901740 24289 1.0001630 25099 17806 1 0.0031420 8.9477931 9.1191735 9.4401802 10.018592 10.691721 11.055589 11.270504 9.2759126 10.018592 10.893058 0.0110194 0.0087815 0.0050707 0.0036063 0.0058081 0.0086148 0.0107075 0.0022442
breakpoint[29] 3.580241 0.2919872 17456 1.0001577 21130 11860 1 0.0022032 2.9902762 3.0879579 3.2375093 3.554957 3.961979 4.243043 4.410277 3.1599474 3.554957 4.103737 0.0070801 0.0052243 0.0028255 0.0020621 0.0053729 0.0117803 0.0178416 0.0016392
breakpoint[12] 9.989862 0.3054533 29688 1.0001261 29749 18512 1 0.0017721 9.2543022 9.3744801 9.6022732 9.992693 10.377057 10.584641 10.707228 9.4770406 9.992693 10.486033 0.0074586 0.0056470 0.0038473 0.0020871 0.0035427 0.0047275 0.0096971 0.0012531
breakpoint[4] 2.408041 0.4379965 17705 1.0001261 17600 13834 1 0.0032887 1.4871611 1.6018012 1.8280441 2.414759 2.948211 3.291777 3.489065 1.6988991 2.414759 3.115091 0.0079552 0.0060348 0.0064160 0.0033940 0.0051547 0.0093650 0.0166832 0.0023255
breakpoint[16] 3.607035 0.1579496 26687 1.0001237 26966 18478 1 0.0009659 3.2403758 3.2973999 3.4014728 3.610188 3.805340 3.916130 3.972878 3.3458531 3.610188 3.866001 0.0041365 0.0032797 0.0018573 0.0012036 0.0016466 0.0024983 0.0043146 0.0006830
breakpoint[3] 2.486905 0.6302748 19199 1.0000983 17909 12026 1 0.0045361 1.2184253 1.3658327 1.7087372 2.444100 3.312507 3.852323 4.153759 1.5246121 2.444100 3.584409 0.0107794 0.0114587 0.0088288 0.0047120 0.0081250 0.0139850 0.0233220 0.0032075
breakpoint[9] 4.460699 0.2237507 20852 1.0000866 21507 16224 1 0.0015476 3.8934245 4.0009547 4.1797981 4.464775 4.730905 4.879168 4.963271 4.0850801 4.464775 4.801858 0.0098822 0.0050754 0.0031972 0.0022635 0.0024940 0.0058971 0.0035913 0.0010943
breakpoint[25] 8.037903 0.5451047 18486 1.0000778 18022 12666 1 0.0040051 6.8607496 7.0081919 7.3025424 8.056849 8.745625 9.041718 9.205225 7.1418310 8.056849 8.907733 0.0092902 0.0064015 0.0048665 0.0049407 0.0057068 0.0088284 0.0171666 0.0028791
breakpoint[2] 1.037309 0.1932020 17424 1.0000640 22995 13740 1 0.0014615 0.7062060 0.7455268 0.8301724 1.006297 1.277649 1.503545 1.671485 0.7815366 1.006297 1.383424 0.0023896 0.0019913 0.0021247 0.0011303 0.0038802 0.0101739 0.0176254 0.0011260
breakpoint[6] 3.439285 0.6193544 23630 1.0000602 23645 19264 1 0.0040251 2.2728972 2.4116270 2.7053595 3.382250 4.245931 4.848608 5.212858 2.5444622 3.382250 4.559192 0.0109920 0.0069537 0.0061019 0.0042749 0.0097043 0.0198634 0.0211101 0.0028747
breakpoint[5] 11.612327 0.4201357 27379 1.0000574 27822 17795 1 0.0025375 10.6549765 10.8205834 11.0840101 11.605728 12.144273 12.468219 12.665380 10.9410601 11.605728 12.313128 0.0105801 0.0078096 0.0037931 0.0031121 0.0055515 0.0117377 0.0126465 0.0018058
breakpoint[34] 7.181350 1.0407469 15997 1.0000289 21881 10632 1 0.0082147 3.6378797 4.6211899 5.9935668 7.276579 8.351599 8.882676 9.143757 5.3744740 7.276579 8.650319 0.1038556 0.0874317 0.0201778 0.0063905 0.0108843 0.0157566 0.0217738 0.0058087
breakpoint[21] 1.133817 0.1292668 11048 1.0000258 19634 10419 1 0.0012286 0.9158381 0.9480352 1.0051980 1.120707 1.260291 1.436513 1.615844 0.9741687 1.120707 1.334844 0.0028092 0.0014490 0.0011051 0.0007649 0.0025584 0.0098244 0.0216542 0.0009483
breakpoint[23] 9.875614 0.2779841 29439 0.9999974 29802 15321 1 0.0016188 9.2133901 9.3306659 9.5200341 9.876127 10.223199 10.417475 10.542609 9.4161619 9.876127 10.324213 0.0108158 0.0059754 0.0036683 0.0022461 0.0039843 0.0059820 0.0108879 0.0011520
breakpoint[37] 5.201223 0.7068164 17810 0.9999861 19214 18829 1 0.0052926 3.3939223 3.6530401 4.1686744 5.303830 6.010834 6.299592 6.470442 3.8722960 5.303830 6.169850 0.0151946 0.0110470 0.0111438 0.0068765 0.0048990 0.0085723 0.0150454 0.0037425

Slope before \(\eta_{1, i}^{b}\)

  • something up with eta_slope[7, 1]
rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
eta_slope[31,1] 4.4403988 0.4106026 439 1.0061163 1024 936 1 0.0195297 2.9074566 3.1461124 3.7428903 4.5836722 4.675920 4.715903 4.734029 3.3793109 4.5836722 4.697862 0.0359978 0.0348667 0.1302933 0.0018700 0.0009855 0.0011061 0.0015577 0.0139406
eta_slope[27,1] 1.9569138 0.3145564 2682 1.0025924 2422 5055 1 0.0060920 1.1664137 1.3025758 1.5384758 1.9744318 2.361569 2.397279 2.412678 1.4166674 1.9744318 2.382909 0.0113501 0.0074970 0.0041734 0.0073489 0.0024504 0.0012535 0.0011094 0.0046390
eta_slope[22,1] 4.1757452 0.7835669 4289 1.0008911 8654 3935 1 0.0119542 1.0822675 1.8773985 3.2364127 4.3639755 4.874865 5.139472 5.297068 2.5501207 4.3639755 5.012018 0.1601089 0.0955003 0.0354505 0.0048043 0.0036262 0.0073827 0.0102563 0.0084534
eta_slope[18,1] 2.9709896 0.0722614 22474 1.0006595 23176 16015 1 0.0004818 2.7861810 2.8244604 2.8816913 2.9714540 3.059999 3.112753 3.145602 2.8522725 2.9714540 3.087278 0.0026060 0.0020963 0.0009817 0.0005278 0.0009613 0.0017380 0.0024420 0.0003407
eta_slope[28,1] 5.8304362 0.5356331 2493 1.0006438 8158 4163 1 0.0107181 3.4364500 4.2592936 5.3219395 5.9995955 6.179538 6.249922 6.288138 4.8635914 5.9995955 6.216409 0.1896071 0.1104821 0.0215955 0.0019042 0.0013562 0.0014194 0.0023090 0.0075797
eta_slope[12,1] 4.3360888 0.0512578 29415 1.0004363 29575 17900 1 0.0002987 4.2159136 4.2356946 4.2715623 4.3354068 4.401741 4.439472 4.461106 4.2526021 4.3354068 4.421096 0.0012106 0.0010063 0.0005689 0.0003450 0.0006330 0.0012371 0.0014023 0.0002116
eta_slope[19,1] 1.6789813 0.4256614 11896 1.0004071 15425 7699 1 0.0038998 0.3987769 0.6487692 1.1016642 1.7423794 2.161208 2.342965 2.446762 0.8638016 1.7423794 2.262790 0.0388207 0.0209108 0.0108011 0.0030612 0.0037733 0.0037635 0.0058836 0.0027576
eta_slope[17,1] 3.9126534 0.0496330 25260 1.0003761 26503 16875 1 0.0003122 3.7807315 3.8068871 3.8489089 3.9150184 3.973463 4.003923 4.019759 3.8274966 3.9150184 3.989465 0.0019646 0.0012857 0.0007929 0.0003437 0.0005244 0.0010004 0.0011300 0.0002208
eta_slope[11,1] 1.1668459 0.1568851 11800 1.0003468 14790 12019 1 0.0014426 0.7550556 0.8470184 0.9748303 1.1724760 1.347225 1.435510 1.504808 0.9101428 1.1724760 1.393222 0.0092315 0.0048998 0.0023759 0.0012090 0.0017993 0.0035272 0.0116500 0.0011363
eta_slope[20,1] 1.6497629 0.7791550 12973 1.0003114 10576 4898 1 0.0068307 0.1297342 0.2358145 0.5766149 1.6593629 2.687162 3.087142 3.227496 0.3668223 1.6593629 2.909258 0.0079777 0.0091833 0.0089882 0.0092684 0.0126183 0.0294727 0.0105813 0.0056628
eta_slope[21,1] 5.8440767 0.5212674 14547 1.0002924 19335 9799 1 0.0043156 4.2409414 4.6351629 5.2133324 5.8873573 6.448735 6.747155 6.899499 4.9251612 5.8873573 6.598272 0.0383871 0.0291497 0.0113309 0.0037846 0.0047009 0.0084351 0.0114841 0.0030517
eta_slope[9,1] 1.8877552 0.0969960 21394 1.0002718 23109 16199 1 0.0006626 1.6240957 1.6779690 1.7638072 1.8946117 2.004823 2.058018 2.088110 1.7194748 1.8946117 2.034805 0.0050240 0.0031035 0.0016266 0.0007071 0.0009974 0.0013956 0.0017771 0.0004686
eta_slope[10,1] 6.3457252 0.4290617 17148 1.0002695 17346 17182 1 0.0032754 5.4444545 5.5842553 5.8353922 6.3086325 6.907169 7.275287 7.487855 5.7017521 6.3086325 7.101627 0.0080355 0.0082647 0.0049498 0.0031735 0.0077810 0.0086712 0.0209249 0.0023194
eta_slope[35,1] 3.3475237 0.0598436 27185 1.0002660 27500 16578 1 0.0003626 3.2014897 3.2268569 3.2716806 3.3479831 3.422358 3.463628 3.486291 3.2485198 3.3479831 3.444702 0.0021588 0.0014062 0.0007862 0.0004767 0.0007307 0.0011491 0.0021667 0.0002564
eta_slope[8,1] 3.7016320 0.2090502 4942 1.0002592 11080 7659 1 0.0029636 3.1784298 3.3160581 3.4805189 3.7024152 3.922607 4.102697 4.281361 3.4000497 3.7024152 4.004208 0.0326080 0.0097552 0.0031388 0.0013694 0.0030717 0.0097213 0.0174027 0.0020957
eta_slope[36,1] 7.4813361 0.4508595 10698 1.0002554 15934 9146 1 0.0043576 5.8937778 6.3271394 6.9353068 7.5567957 7.946729 8.132670 8.226778 6.6561692 7.5567957 8.047774 0.0439947 0.0281251 0.0120343 0.0027237 0.0033852 0.0041387 0.0049195 0.0030814
eta_slope[30,1] 4.8632187 0.5264395 12601 1.0002414 14486 12378 1 0.0046760 3.8446763 4.0137133 4.3058892 4.7861738 5.533505 6.156476 6.558662 4.1579368 4.7861738 5.840992 0.0129094 0.0107463 0.0047542 0.0033457 0.0141453 0.0230622 0.0345021 0.0033779
eta_slope[29,1] 6.3743065 0.2674779 19154 1.0002381 21308 14623 1 0.0019341 5.6492499 5.7920576 6.0223751 6.3956176 6.697664 6.843318 6.930314 5.9068478 6.3956176 6.774305 0.0147012 0.0066930 0.0041897 0.0019592 0.0020178 0.0030932 0.0061101 0.0013676
eta_slope[15,1] 5.2530530 0.1418809 25281 1.0001675 25919 18372 1 0.0008919 4.8997610 4.9597006 5.0671525 5.2592722 5.429631 5.516620 5.563306 5.0115724 5.2592722 5.476095 0.0070329 0.0040060 0.0017845 0.0010813 0.0016170 0.0023494 0.0032995 0.0006307
eta_slope[7,1] 4.0128684 0.2534652 26394 1.0001589 27071 16967 1 0.0015582 3.3953417 3.5041487 3.6957754 4.0121705 4.330470 4.510636 4.614341 3.5994254 4.0121705 4.428244 0.0077386 0.0053945 0.0034964 0.0015558 0.0034875 0.0056616 0.0071271 0.0011107
eta_slope[37,1] 3.3745007 0.1360162 18084 1.0001587 19152 16514 1 0.0010102 3.0892788 3.1317471 3.2138874 3.3627207 3.555238 3.676088 3.743704 3.1700418 3.3627207 3.617976 0.0030153 0.0021495 0.0013982 0.0011564 0.0022760 0.0031539 0.0049235 0.0007191
eta_slope[4,1] 1.9920687 0.4721489 13110 1.0001465 15867 9284 1 0.0041091 0.6499876 0.8978158 1.3523900 2.0514764 2.542236 2.767911 2.873393 1.1067068 2.0514764 2.661157 0.0275695 0.0198028 0.0099543 0.0035228 0.0041921 0.0064330 0.0067835 0.0029056
eta_slope[25,1] 4.3413977 0.0672328 20736 1.0001437 20779 19640 1 0.0004665 4.1871781 4.2108331 4.2559187 4.3403476 4.429450 4.474509 4.496564 4.2328484 4.3403476 4.454231 0.0018846 0.0015444 0.0007499 0.0006079 0.0007665 0.0010186 0.0014937 0.0003298
eta_slope[32,1] 4.6811028 0.2204104 16919 1.0001404 19396 11948 1 0.0016916 4.1109883 4.2259274 4.4175975 4.6823943 4.938402 5.115987 5.231503 4.3191591 4.6823943 5.028293 0.0122532 0.0067851 0.0037729 0.0014982 0.0034180 0.0064255 0.0092611 0.0011975
eta_slope[2,1] 0.6831806 0.3193352 24957 1.0001187 23860 13893 1 0.0020197 0.0634418 0.1081852 0.2541987 0.6791892 1.106084 1.302210 1.408879 0.1657610 0.6791892 1.214973 0.0031729 0.0035968 0.0046845 0.0026923 0.0039281 0.0052118 0.0063984 0.0014282
eta_slope[24,1] 4.8614856 0.1178598 20262 1.0001152 22400 15028 1 0.0008262 4.5414325 4.6074975 4.7137743 4.8681557 5.001432 5.075034 5.114708 4.6610082 4.8681557 5.041644 0.0045582 0.0046725 0.0019944 0.0007590 0.0012881 0.0021297 0.0028505 0.0005842
eta_slope[3,1] 2.8311650 0.6240619 12808 1.0001134 17166 9371 1 0.0055096 0.8855084 1.2929716 1.9795543 2.9401776 3.524890 3.748267 3.843067 1.6241269 2.9401776 3.652184 0.0411162 0.0325172 0.0150301 0.0051757 0.0048277 0.0054051 0.0050678 0.0038960
eta_slope[33,1] 5.4699006 0.2236299 20923 1.0000902 21424 16625 1 0.0015442 4.9391080 5.0295738 5.1875987 5.4702953 5.748654 5.918793 6.012144 5.1042612 5.4702953 5.836900 0.0068227 0.0051348 0.0030331 0.0014399 0.0028453 0.0049464 0.0067895 0.0010920
eta_slope[34,1] 4.4616711 0.0780196 15373 1.0000829 21954 15362 1 0.0006286 4.2630487 4.3034633 4.3655999 4.4651710 4.550759 4.599282 4.637030 4.3349583 4.4651710 4.574466 0.0034659 0.0025000 0.0009934 0.0005695 0.0008647 0.0019963 0.0058092 0.0004445
eta_slope[14,1] 5.7820785 0.1077943 28384 1.0000772 28494 19017 1 0.0006392 5.5146930 5.5630582 5.6409216 5.7852290 5.917221 5.983150 6.019758 5.5993676 5.7852290 5.953041 0.0030803 0.0029898 0.0016406 0.0008177 0.0012333 0.0018721 0.0021554 0.0004520
eta_slope[1,1] 2.8970178 0.0452033 30119 1.0000651 30694 18466 1 0.0002605 2.7913256 2.8090277 2.8400257 2.8963201 2.954231 2.987194 3.007676 2.8239335 2.8963201 2.972201 0.0010731 0.0008676 0.0005164 0.0003689 0.0005988 0.0007848 0.0016293 0.0001847
eta_slope[26,1] 2.9395720 0.0659397 22395 1.0000641 22959 15908 1 0.0004401 2.7757030 2.8043665 2.8560256 2.9407601 3.021729 3.066487 3.094305 2.8301500 2.9407601 3.045746 0.0023879 0.0016440 0.0007902 0.0003944 0.0006598 0.0014681 0.0017096 0.0003112
eta_slope[5,1] 2.6768188 0.0248386 28896 1.0000507 29063 17835 1 0.0001460 2.6168628 2.6272158 2.6447433 2.6772326 2.708529 2.724472 2.733039 2.6355561 2.6772326 2.716935 0.0008670 0.0003811 0.0003097 0.0001892 0.0002693 0.0005064 0.0004880 0.0001032
eta_slope[16,1] 3.2818187 0.3787486 23530 1.0000441 25785 15634 1 0.0024685 2.2770591 2.4536890 2.7880401 3.3090998 3.741460 3.948746 4.051789 2.6106597 3.3090998 3.851765 0.0161148 0.0099486 0.0063514 0.0029226 0.0032055 0.0049032 0.0064439 0.0017455
eta_slope[6,1] 4.8126251 0.2990201 21635 1.0000386 22735 16776 1 0.0020302 4.2325013 4.3020787 4.4507805 4.7880489 5.205869 5.474825 5.623591 4.3688241 4.7880489 5.340277 0.0050298 0.0040184 0.0029383 0.0023168 0.0051138 0.0082435 0.0124869 0.0014516
eta_slope[23,1] 2.7450995 0.0290178 29486 1.0000325 29947 17194 1 0.0001683 2.6751833 2.6867327 2.7080152 2.7452696 2.782019 2.801023 2.811745 2.6968298 2.7452696 2.791912 0.0006954 0.0006489 0.0003858 0.0001944 0.0003428 0.0005725 0.0007574 0.0001190
eta_slope[13,1] 2.8539230 0.0357853 23907 0.9999772 24456 19106 1 0.0002309 2.7635905 2.7794470 2.8075229 2.8552223 2.898230 2.920917 2.933988 2.7931050 2.8552223 2.910031 0.0007221 0.0008870 0.0004971 0.0003202 0.0003245 0.0005811 0.0009091 0.0001632

Slope after \(\eta_{1, i}^{a}\)

rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
eta_slope[27,2] 2.3564826 0.1972539 202 1.0081262 1009 589 1 0.0137552 2.1277456 2.1674999 2.2429257 2.3557271 2.3875464 2.408692 3.1747684 2.1994142 2.3557271 2.397228 0.0031250 0.0024376 0.0049010 0.0005307 0.0012174 0.0068679 0.5945346 0.0097403
eta_slope[31,2] 5.4123720 0.1438220 867 1.0054096 1085 1319 1 0.0048708 5.0943887 5.1196781 5.1863396 5.4282207 5.5846573 5.667247 5.7160478 5.1451081 5.4282207 5.628739 0.0028365 0.0041493 0.0107312 0.0029123 0.0017166 0.0023298 0.0027133 0.0034453
eta_slope[24,2] 8.5662453 0.5359212 25060 1.0007583 25549 14338 1 0.0033846 7.2847633 7.4886127 7.8855075 8.5733807 9.2293428 9.625085 9.8619450 7.6793677 8.5733807 9.431972 0.0177185 0.0150362 0.0084594 0.0042133 0.0058610 0.0128203 0.0154172 0.0023933
eta_slope[22,2] 4.3830463 0.7623062 11217 1.0004601 14528 9388 1 0.0071926 2.1544759 2.7531461 3.5406932 4.4152700 5.1657917 5.867775 6.4451212 3.1691941 4.4152700 5.490294 0.0943172 0.0480209 0.0174028 0.0049689 0.0097854 0.0254604 0.0677812 0.0050861
eta_slope[28,2] 5.8504466 0.3780254 14016 1.0004366 14961 15691 1 0.0031907 4.7164053 4.9876517 5.3589594 5.9274365 6.2315265 6.365369 6.4698742 5.1766431 5.9274365 6.301543 0.0260778 0.0172421 0.0069881 0.0039762 0.0020035 0.0042958 0.0075728 0.0022562
eta_slope[6,2] 3.6692227 0.0145789 36010 1.0003789 36178 19322 1 0.0000768 3.6342772 3.6402127 3.6504653 3.6694196 3.6877712 3.697531 3.7025301 3.6449145 3.6694196 3.692808 0.0004597 0.0003126 0.0001662 0.0001041 0.0001792 0.0002692 0.0003884 0.0000543
eta_slope[17,2] 1.2749780 0.0369464 35147 1.0003160 35565 19528 1 0.0001966 1.1865801 1.2015261 1.2276266 1.2754982 1.3212466 1.346468 1.3634747 1.2140195 1.2754982 1.334575 0.0008029 0.0007875 0.0004645 0.0002441 0.0004763 0.0008428 0.0012550 0.0001391
eta_slope[25,2] 2.3516944 0.4110211 15849 1.0003150 18979 12437 1 0.0032625 1.1638165 1.3944495 1.8008201 2.4083985 2.8215837 2.974692 3.0436494 1.5855319 2.4083985 2.908672 0.0306028 0.0153656 0.0078702 0.0032686 0.0025666 0.0038057 0.0049637 0.0023070
eta_slope[20,2] 3.3658459 0.0516387 4840 1.0002915 15101 5983 1 0.0007414 3.2141076 3.2687118 3.3113632 3.3682193 3.4230550 3.452853 3.4716431 3.2919347 3.3682193 3.438711 0.0166735 0.0036810 0.0009437 0.0002837 0.0005513 0.0010360 0.0015737 0.0005243
eta_slope[29,2] 2.5512089 0.3152353 18510 1.0002824 23171 12188 1 0.0023121 1.6701702 1.8559778 2.1566088 2.5708712 2.9242339 3.115478 3.2382409 2.0000335 2.5708712 3.021850 0.0169111 0.0116023 0.0059073 0.0023942 0.0029249 0.0049763 0.0084380 0.0016349
eta_slope[36,2] 12.0926101 0.4911560 16971 1.0002518 17676 13114 1 0.0037685 10.8872768 11.0784036 11.4530538 12.1057332 12.7001870 13.025516 13.2181222 11.2472099 12.1057332 12.874773 0.0137818 0.0146594 0.0086316 0.0039815 0.0056386 0.0131219 0.0154858 0.0026648
eta_slope[30,2] 1.7501207 0.2626526 13591 1.0002429 16964 10592 1 0.0022492 1.0402638 1.2073970 1.4294645 1.7568734 2.0718829 2.233830 2.3236869 1.3208079 1.7568734 2.160440 0.0282343 0.0114941 0.0045784 0.0018969 0.0032532 0.0047119 0.0052551 0.0015905
eta_slope[7,2] 8.4692915 0.5394412 28552 1.0002425 30836 16506 1 0.0031980 7.2940485 7.4856731 7.8237933 8.4399083 9.1529298 9.608292 9.9031313 7.6401781 8.4399083 9.388129 0.0167654 0.0085481 0.0056895 0.0031856 0.0090877 0.0162420 0.0223517 0.0023116
eta_slope[15,2] 2.5965669 0.1188920 33492 1.0002392 34500 18589 1 0.0006489 2.2946528 2.3499743 2.4449778 2.6004794 2.7441687 2.820956 2.8642013 2.3954794 2.6004794 2.783760 0.0045428 0.0030000 0.0017469 0.0007304 0.0013806 0.0022729 0.0031469 0.0004588
eta_slope[33,2] 1.3250569 0.0946613 30516 1.0002362 31739 17495 1 0.0005416 1.0837247 1.1312956 1.2058235 1.3274140 1.4414053 1.506628 1.5472878 1.1664503 1.3274140 1.476757 0.0026021 0.0018137 0.0012728 0.0006899 0.0009501 0.0014325 0.0025192 0.0003830
eta_slope[21,2] 2.5763588 0.0930600 26040 1.0002295 28294 13864 1 0.0005747 2.3307326 2.3852654 2.4668247 2.5774327 2.6856497 2.758976 2.8035718 2.4264680 2.5774327 2.722660 0.0051554 0.0028031 0.0016241 0.0005279 0.0013418 0.0027222 0.0035385 0.0004064
eta_slope[34,2] 5.0583370 0.2762555 19182 1.0002079 22315 13330 1 0.0019933 4.5509700 4.6120932 4.7480511 5.0268655 5.3961678 5.686101 5.9143209 4.6722933 5.0268655 5.533179 0.0067579 0.0035155 0.0027931 0.0017760 0.0045911 0.0092221 0.0186485 0.0014548
eta_slope[14,2] 1.8128725 0.0327521 39137 1.0001987 39556 18973 1 0.0001653 1.7339206 1.7478555 1.7713947 1.8129826 1.8542745 1.876773 1.8890880 1.7589580 1.8129826 1.866399 0.0008148 0.0006452 0.0004767 0.0002005 0.0003551 0.0006077 0.0012246 0.0001169
eta_slope[10,2] 3.3062736 0.5282836 14849 1.0001761 18784 11488 1 0.0043319 1.6636357 2.0572527 2.6331207 3.3772332 3.8886381 4.139246 4.2939609 2.3327192 3.3772332 4.024037 0.0438609 0.0283891 0.0113315 0.0047610 0.0039763 0.0080049 0.0127811 0.0030632
eta_slope[9,2] 4.3408588 0.2705546 24503 1.0001575 24879 17625 1 0.0017269 3.7417548 3.8420947 4.0090769 4.3288437 4.6849272 4.905152 5.0504466 3.9200757 4.3288437 4.800053 0.0092633 0.0045288 0.0027429 0.0020446 0.0037901 0.0068219 0.0105210 0.0012266
eta_slope[2,2] 2.6341514 0.0745605 16261 1.0001386 23245 13809 1 0.0005754 2.4786914 2.5061811 2.5522144 2.6283698 2.7206729 2.795882 2.8539754 2.5282074 2.6283698 2.755490 0.0036423 0.0014467 0.0008456 0.0004101 0.0013435 0.0030817 0.0070753 0.0004175
eta_slope[23,2] 1.5714449 0.1347434 29058 1.0001377 31655 15767 1 0.0007880 1.2172825 1.2860800 1.3992143 1.5762751 1.7371127 1.820151 1.8663796 1.3389254 1.5762751 1.780418 0.0056137 0.0051317 0.0021317 0.0009102 0.0012452 0.0023292 0.0026475 0.0005572
eta_slope[19,2] 5.4267753 0.5989690 24469 1.0001327 24096 17324 1 0.0038263 4.0998588 4.3217407 4.6801230 5.4087976 6.1857675 6.674739 6.9875131 4.4871246 5.4087976 6.431839 0.0138024 0.0129593 0.0065362 0.0036745 0.0064337 0.0131493 0.0209674 0.0027056
eta_slope[16,2] 11.2838469 0.1387199 36559 1.0001179 36940 18785 1 0.0007246 10.9584479 11.0157027 11.1093626 11.2825685 11.4597081 11.564792 11.6202398 11.0607062 11.2825685 11.514048 0.0032932 0.0034882 0.0016285 0.0008019 0.0017595 0.0034031 0.0038703 0.0005128
eta_slope[1,2] 0.4268636 0.1612654 25852 1.0001107 24580 12896 1 0.0009979 0.0777959 0.1189899 0.2195118 0.4247473 0.6347094 0.754202 0.8167857 0.1650928 0.4247473 0.698422 0.0044353 0.0034668 0.0018317 0.0010495 0.0021670 0.0035858 0.0034146 0.0007056
eta_slope[26,2] 1.3925423 0.2834522 17193 1.0000952 19911 11877 1 0.0021596 0.5890457 0.7479818 1.0286316 1.4179683 1.7288293 1.882782 1.9688356 0.8874898 1.4179683 1.808843 0.0168820 0.0121257 0.0064408 0.0020290 0.0026814 0.0042532 0.0050927 0.0015271
eta_slope[37,2] 1.9747039 0.2843588 20772 1.0000852 21638 17128 1 0.0019714 1.2461412 1.3792514 1.6034210 1.9897453 2.3289651 2.466468 2.5291183 1.4843309 1.9897453 2.404879 0.0127259 0.0074062 0.0038233 0.0027901 0.0025784 0.0031891 0.0044915 0.0013940
eta_slope[11,2] 1.4758456 0.1409544 6618 1.0000721 15720 7793 1 0.0017303 1.0744200 1.2095405 1.3324272 1.4770492 1.6275965 1.733893 1.8154897 1.2779735 1.4770492 1.680495 0.0309599 0.0097836 0.0021321 0.0008771 0.0016838 0.0036439 0.0084283 0.0012235
eta_slope[3,2] 4.9308783 0.1077743 31491 1.0000720 32201 18662 1 0.0006066 4.6916429 4.7307316 4.7983939 4.9268372 5.0688414 5.155441 5.2108343 4.7604546 4.9268372 5.114999 0.0023184 0.0016549 0.0011599 0.0007057 0.0015185 0.0025296 0.0038266 0.0004303
eta_slope[18,2] 1.8536577 0.0540632 28409 1.0000560 30340 14984 1 0.0003198 1.7141472 1.7424953 1.7868519 1.8545458 1.9192989 1.956592 1.9816313 1.7644908 1.8545458 1.939019 0.0027471 0.0014348 0.0007672 0.0003774 0.0006788 0.0010925 0.0017325 0.0002262
eta_slope[8,2] 4.1923105 0.2623144 12105 1.0000481 17355 13587 1 0.0023822 3.6330550 3.7412920 3.8905002 4.1847422 4.5061120 4.719138 4.8564927 3.8122584 4.1847422 4.612323 0.0164369 0.0056390 0.0033741 0.0019329 0.0045652 0.0078977 0.0122391 0.0016845
eta_slope[4,2] 4.0441957 0.2072259 23977 1.0000450 25817 17133 1 0.0013386 3.6008980 3.6732941 3.7953261 4.0331192 4.3034753 4.484529 4.6032695 3.7301286 4.0331192 4.395738 0.0066049 0.0042230 0.0018958 0.0015034 0.0029815 0.0068055 0.0091568 0.0009632
eta_slope[32,2] 2.0977867 0.3137696 15631 1.0000152 20089 10173 1 0.0025066 1.1720108 1.4053649 1.7276534 2.1147541 2.4571510 2.683540 2.8302182 1.5755080 2.1147541 2.565315 0.0324048 0.0153256 0.0052343 0.0019218 0.0039801 0.0073277 0.0170944 0.0017725
eta_slope[13,2] 1.8092240 0.0586958 28058 1.0000092 29372 18174 1 0.0003501 1.6546280 1.6832105 1.7331426 1.8126730 1.8814578 1.915742 1.9342831 1.7075018 1.8126730 1.899618 0.0018422 0.0013524 0.0008598 0.0003994 0.0005248 0.0006750 0.0010665 0.0002476
eta_slope[12,2] 2.6620560 0.0726076 34459 1.0000081 34868 19178 1 0.0003900 2.4855282 2.5162998 2.5698478 2.6630933 2.7538692 2.800458 2.8254139 2.5415607 2.6630933 2.778605 0.0022027 0.0016269 0.0009245 0.0004540 0.0009975 0.0012190 0.0014574 0.0002758
eta_slope[5,2] 2.0144068 0.0192205 33063 0.9999467 33600 19440 1 0.0001056 1.9671097 1.9755402 1.9899991 2.0147849 2.0386955 2.051209 2.0578628 1.9823281 2.0147849 2.045358 0.0007390 0.0003823 0.0002125 0.0001408 0.0002173 0.0003365 0.0004473 0.0000747
eta_slope[35,2] 2.4800230 0.0746141 32454 0.9999188 33304 17145 1 0.0004132 2.2945422 2.3284861 2.3861589 2.4815398 2.5724986 2.623211 2.6517179 2.3561542 2.4815398 2.598282 0.0029152 0.0015034 0.0009861 0.0004505 0.0007203 0.0015231 0.0019356 0.0002922

Stage 2

PoE

  • Now that I’ve pruned some of the weird fluid observations, all the PoE variants work well.

None (full melding)

\(\phi_{1 \cap 2}\)

Event times \(T_{i}\)
rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
event_time[24] 6.435173 1.7105205 394 1.0137226 397 24995 1 0.0867554 2.3175356 2.6880642 3.520812 7.510231 7.510231 7.510231 7.510231 3.040366 7.510231 7.510231 0.0379056 0.0273966 0.0694911 NA NA NA NA 0.0633277
event_time[28] 4.256758 0.7712540 132 1.0063943 616 133 1 0.0664616 3.5580031 3.6534304 3.807808 4.100148 4.495420 7.588843 7.588843 3.723482 4.100148 5.170286 0.0033788 0.0044227 0.0027728 0.0050375 0.0591006 NA NA 0.0487340
event_time[19] 4.607009 0.4867724 498 1.0038804 1021 24995 1 0.0218515 2.8687563 3.2540152 4.280682 4.601451 4.865502 5.950880 5.950880 4.039956 4.601451 5.950880 0.0246493 0.0955893 0.0063886 0.0040848 0.0377625 NA NA 0.0175100
event_time[8] 5.172549 0.1664571 2716 1.0022106 2433 24995 1 0.0031872 4.6128251 4.6936119 4.874824 5.248611 5.248611 5.248611 5.248611 4.765570 5.248611 5.248611 0.0051338 0.0044221 0.0090435 NA NA NA NA 0.0022686
event_time[34] 10.248407 1.0165130 2137 1.0018681 2164 24995 1 0.0219934 0.5459297 10.3526157 10.352616 10.352616 10.352616 10.352616 10.352616 10.352616 10.352616 10.352616 4.9570670 NA NA NA NA NA NA 0.0155557
event_time[9] 6.336910 0.1773224 4510 1.0016499 4088 24995 1 0.0026375 5.4528885 5.6285248 6.378426 6.378426 6.378426 6.378426 6.378426 5.913035 6.378426 6.378426 0.0119416 0.0124525 NA NA NA NA NA 0.0018739
event_time[26] 1.708545 0.6325737 430 1.0014265 3276 1164 1 0.0303872 1.1308388 1.2263757 1.369510 1.605044 1.917191 3.594961 6.269942 1.296116 1.605044 2.099939 0.0062543 0.0035301 0.0015643 0.0019801 0.0120364 0.9087369 NA 0.0241860
event_time[16] 11.184755 0.0252470 3951 1.0013844 2921 24995 1 0.0004017 11.1861111 11.1861111 11.186111 11.186111 11.186111 11.186111 11.186111 11.186111 11.186111 11.186111 NA NA NA NA NA NA NA 0.0002857
event_time[32] 3.416488 0.1698950 6985 1.0012722 7124 24995 1 0.0020305 2.9783520 3.0756629 3.212296 3.400926 3.635891 3.635891 3.635891 3.148014 3.400926 3.635891 0.0086388 0.0043430 0.0021752 0.0019541 NA NA NA 0.0014560
event_time[30] 1.759999 0.4872358 518 1.0012276 2228 815 1 0.0214265 0.7487520 0.9241619 1.279239 1.764716 2.108394 2.395540 4.694954 1.081331 1.764716 2.230523 0.0142525 0.0073663 0.0066379 0.0050997 0.0111480 0.1296441 NA 0.0186857
event_time[29] 6.923661 0.8664123 4032 1.0008039 4148 24995 1 0.0136371 4.7480908 4.8833641 5.204698 7.362870 7.362870 7.362870 7.362870 5.014511 7.362870 7.362870 0.0087064 0.0101185 0.0134230 NA NA NA NA 0.0096681
event_time[33] 6.386137 0.3882469 13268 1.0005502 12863 24995 1 0.0033672 4.2697695 5.0204448 6.481875 6.481875 6.481875 6.481875 6.481875 5.709997 6.481875 6.481875 0.0786127 0.0656688 NA NA NA NA NA 0.0023810
event_time[4] 5.651093 0.3749377 11138 1.0003158 9908 24995 1 0.0035419 2.9849017 5.6999190 5.699919 5.699919 5.699919 5.699919 5.699919 5.699919 5.699919 5.699919 0.0820408 NA NA NA NA NA NA 0.0025232
event_time[36] 4.663732 0.5009472 3431 1.0002917 5708 1407 1 0.0085462 2.5484912 3.1533384 4.355168 4.764280 4.997848 5.126402 5.204954 3.894352 4.764280 5.064629 0.0826272 0.1819937 0.0188056 0.0026913 0.0026784 0.0036226 0.0089796 0.0066334
event_time[25] 5.147186 0.7615568 12778 1.0002432 16168 9052 1 0.0067232 3.5951442 3.8985435 4.341638 5.046324 6.085381 7.197482 7.539144 4.118449 5.046324 6.668086 0.0281339 0.0105979 0.0057728 0.0048633 0.0235229 0.0499802 0.0416690 0.0050536
event_time[27] 10.116141 0.8270007 22146 1.0002212 21906 21601 1 0.0055545 7.6899583 8.1921148 8.987781 10.242199 11.058718 11.394082 11.575599 8.574717 10.242199 11.250848 0.0325169 0.0216503 0.0119356 0.0066866 0.0062018 0.0117321 0.0100998 0.0039379
event_time[5] 25.781257 0.9430203 13141 1.0000944 12284 24995 1 0.0082258 19.7742796 25.9132292 25.913229 25.913229 25.913229 25.913229 25.913229 25.913229 25.913229 25.913229 0.1995225 NA NA NA NA NA NA 0.0058622
event_time[18] 6.096395 0.0725939 25020 1.0000747 25025 24995 1 0.0004589 6.0977662 6.0977662 6.097766 6.097766 6.097766 6.097766 6.097766 6.097766 6.097766 6.097766 NA NA NA NA NA NA NA 0.0003245
event_time[35] 7.881525 0.1039984 22872 1.0000548 20298 24995 1 0.0006874 7.8863194 7.8863194 7.886319 7.886319 7.886319 7.886319 7.886319 7.886319 7.886319 7.886319 NA NA NA NA NA NA NA 0.0004951
event_time[13] 17.452241 1.7889202 10474 1.0000502 5777 24995 1 0.0174691 5.6151448 14.0268764 17.728583 17.785417 17.785417 17.785417 17.785417 16.992933 17.785417 17.785417 0.0745522 1.9138742 0.0541349 NA NA NA NA 0.0126713
event_time[7] 3.641145 0.2717406 23582 1.0000489 23588 23223 1 0.0017695 2.9822116 3.1149837 3.313509 3.635605 3.972714 4.182389 4.341896 3.210467 3.635605 4.080253 0.0095387 0.0056695 0.0028898 0.0019240 0.0039418 0.0066431 0.0136069 0.0012512
event_time[20] 3.127462 0.2550824 21822 1.0000296 22596 21443 1 0.0017267 2.5730899 2.6664475 2.831129 3.121618 3.433843 3.612368 3.719998 2.739321 3.121618 3.530512 0.0061234 0.0049961 0.0021919 0.0021438 0.0033363 0.0041908 0.0071254 0.0012721
event_time[1] 4.787680 0.4898321 4707 1.0000084 20491 20213 1 0.0071336 3.7519752 3.9271939 4.248227 4.788489 5.295059 5.589312 5.794405 4.080398 4.788489 5.439095 0.0132366 0.0098011 0.0041806 0.0032486 0.0042205 0.0133593 0.0167858 0.0069817
event_time[15] 1.485287 0.1776533 19902 1.0000018 19799 18423 1 0.0012581 1.0223268 1.1125684 1.265706 1.488856 1.703338 1.822786 1.888515 1.190459 1.488856 1.767671 0.0053610 0.0038417 0.0020121 0.0012474 0.0023191 0.0020795 0.0047581 0.0008991
event_time[3] 10.051354 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 10.0513542 10.0513542 10.051354 10.051354 10.051354 10.051354 10.051354 10.051354 10.051354 10.051354 NA NA NA NA NA NA NA NA
event_time[14] 13.309259 0.0000630 25005 1.0000000 25010 24995 1 0.0000004 13.3092593 13.3092593 13.309259 13.309259 13.309259 13.309259 13.309259 13.309259 13.309259 13.309259 NA NA NA NA NA NA NA 0.0000003
event_time[21] 4.234513 0.0001229 25005 1.0000000 25010 24995 1 0.0000008 4.2345139 4.2345139 4.234514 4.234514 4.234514 4.234514 4.234514 4.234514 4.234514 4.234514 NA NA NA NA NA NA NA 0.0000005
event_time[22] 3.679339 0.0001429 25005 1.0000000 25010 24995 1 0.0000009 3.6793403 3.6793403 3.679340 3.679340 3.679340 3.679340 3.679340 3.679340 3.679340 3.679340 NA NA NA NA NA NA NA 0.0000006
event_time[17] 8.790860 0.2110508 24019 0.9999997 24172 24092 1 0.0013610 8.2437314 8.3519354 8.527486 8.797952 9.042599 9.182617 9.287572 8.437915 8.797952 9.113924 0.0075999 0.0051707 0.0023608 0.0014061 0.0022168 0.0034349 0.0101420 0.0009624
event_time[37] 8.687265 0.0408798 19097 0.9999883 15512 24995 1 0.0002956 8.5248511 8.6915278 8.691528 8.691528 8.691528 8.691528 8.691528 8.691528 8.691528 8.691528 0.0146902 NA NA NA NA NA NA 0.0002097
event_time[6] 19.388931 0.6774581 22230 0.9999558 24228 23063 1 0.0045409 17.7856391 18.0959180 18.617689 19.416953 20.155618 20.554295 20.796613 18.334143 19.416953 20.377129 0.0316453 0.0160260 0.0078697 0.0044127 0.0038363 0.0075959 0.0133383 0.0032109
event_time[10] 3.443020 0.0033382 25009 0.9999557 25014 24995 1 0.0000211 3.4430556 3.4430556 3.443056 3.443056 3.443056 3.443056 3.443056 3.443056 3.443056 3.443056 NA NA NA NA NA NA NA 0.0000149
event_time[23] 12.893042 0.1985217 13314 0.9999520 12079 24995 1 0.0017194 11.6855167 12.3440899 12.925694 12.925694 12.925694 12.925694 12.925694 12.925694 12.925694 12.925694 0.0316416 0.0819974 NA NA NA NA NA 0.0012191
event_time[2] 4.413535 0.0236749 25015 0.9999477 25025 24995 1 0.0001497 4.4138889 4.4138889 4.413889 4.413889 4.413889 4.413889 4.413889 4.413889 4.413889 4.413889 NA NA NA NA NA NA NA 0.0001058
event_time[31] 1.340692 0.2437026 14824 0.9999400 20656 20030 1 0.0020006 0.8233263 0.9035095 1.066113 1.346576 1.595586 1.723958 1.785568 0.979030 1.346576 1.664029 0.0048633 0.0040088 0.0027670 0.0018145 0.0021549 0.0025912 0.0048894 0.0017781
event_time[11] 5.782305 0.2198969 18526 0.9999335 16912 24995 1 0.0016149 5.4378292 5.7575016 5.803426 5.803426 5.803426 5.803426 5.803426 5.803426 5.803426 5.803426 0.1330710 0.0068411 NA NA NA NA NA 0.0011420
event_time[12] 3.047606 0.5322025 22321 0.9999143 22290 21787 1 0.0035612 1.9060430 2.0743289 2.394626 3.020859 3.747101 4.139001 4.387274 2.221754 3.020859 3.946408 0.0098820 0.0077114 0.0069422 0.0039713 0.0056651 0.0076050 0.0181730 0.0025217
Event indicators \(d_{i}\)
rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
event_indicator[28] 0.9559512 0.2052077 113 1.0338649 115 24995 1 0.0191305 0 0 1 1 1 1 1 1 1 1 0.0 0.5 NA NA NA NA NA 0.0135617
event_indicator[19] 0.9381876 0.2408193 232 1.0181358 233 24995 1 0.0157839 0 0 1 1 1 1 1 0 1 1 0.0 0.0 NA NA NA NA NA 0.0111749
event_indicator[26] 0.9894379 0.1022300 243 1.0175521 244 24995 1 0.0065423 0 1 1 1 1 1 1 1 1 1 0.5 NA NA NA NA NA NA 0.0046317
event_indicator[24] 0.3098620 0.4624458 340 1.0169277 336 24995 1 0.0252311 0 0 0 0 1 1 1 0 0 1 0.0 0.0 0 0 NA NA NA 0.0178566
event_indicator[30] 0.9866373 0.1148244 261 1.0148236 261 24995 1 0.0071023 0 1 1 1 1 1 1 1 1 1 0.5 NA NA NA NA NA NA 0.0050277
event_indicator[8] 0.2102420 0.4074886 2231 1.0025331 2234 24995 1 0.0086204 0 0 0 0 1 1 1 0 0 1 0.0 0.0 0 0 NA NA NA 0.0060964
event_indicator[34] 0.0104021 0.1014608 2137 1.0018927 2136 2136 1 0.0021955 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0 0 0 0 NA 0.0015527
event_indicator[9] 0.0598520 0.2372171 3942 1.0018895 3956 24995 1 0.0037717 0 0 0 0 0 1 1 0 0 1 0.0 0.0 0 0 0 NA NA 0.0026672
event_indicator[32] 0.7548310 0.4301960 4619 1.0018760 4622 24995 1 0.0063277 0 0 0 1 1 1 1 0 1 1 0.0 0.0 0 NA NA NA NA 0.0044746
event_indicator[16] 0.0038408 0.0618560 2854 1.0014032 2852 2852 1 0.0011582 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0 0 0 0 0.0 0.0008190
event_indicator[29] 0.2123625 0.4089882 3959 1.0007385 3963 24995 1 0.0064964 0 0 0 0 1 1 1 0 0 1 0.0 0.0 0 0 NA NA NA 0.0045940
event_indicator[33] 0.0888178 0.2844862 13145 1.0004903 13220 24995 1 0.0024743 0 0 0 0 0 1 1 0 0 1 0.0 0.0 0 0 0 NA NA 0.0017496
event_indicator[4] 0.0205241 0.1417874 9798 1.0003213 9830 9830 1 0.0014301 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0 0 0 0 NA 0.0010112
event_indicator[5] 0.0221644 0.1472211 12132 1.0000997 12133 12133 1 0.0013366 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0 0 0 0 NA 0.0009451
event_indicator[35] 0.0094819 0.0969142 20317 1.0000841 20362 20362 1 0.0006792 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0 0 0 0 0.5 0.0004803
event_indicator[13] 0.1031806 0.3042007 5547 1.0000834 5553 24995 1 0.0040824 0 0 0 0 1 1 1 0 0 1 0.0 0.0 0 0 NA NA NA 0.0028868
event_indicator[18] 0.0003601 0.0189725 25021 1.0000693 25025 25025 1 0.0001199 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0 0 0 0 0.0 0.0000848
event_indicator[37] 0.0191638 0.1371034 15317 1.0000066 15339 15339 1 0.0011070 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0 0 0 0 NA 0.0007828
event_indicator[1] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[3] 0.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 0 0 0 0 0 0 0 0 0 0 NA NA NA NA NA NA NA NA
event_indicator[6] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[7] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[12] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[14] 0.0000400 0.0063252 25005 1.0000000 25010 25010 1 0.0000400 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0 0 0 0 0.0 0.0000283
event_indicator[15] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[17] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[20] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[21] 0.0000400 0.0063252 25005 1.0000000 25010 25010 1 0.0000400 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0 0 0 0 0.0 0.0000283
event_indicator[22] 0.0000400 0.0063252 25005 1.0000000 25010 25010 1 0.0000400 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0 0 0 0 0.0 0.0000283
event_indicator[25] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[27] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[31] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[36] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[11] 0.0343669 0.1821733 17026 0.9999685 17040 17040 1 0.0013956 0 0 0 0 0 1 1 0 0 0 0.0 0.0 0 0 0 NA NA 0.0009868
event_indicator[23] 0.0351270 0.1841045 12043 0.9999683 12056 12056 1 0.0016767 0 0 0 0 0 1 1 0 0 0 0.0 0.0 0 0 0 NA NA 0.0011856
event_indicator[2] 0.0003201 0.0178878 25019 0.9999556 25025 25025 1 0.0001131 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0 0 0 0 0.0 0.0000800
event_indicator[10] 0.0001200 0.0109551 25010 0.9999555 25014 25014 1 0.0000693 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0 0 0 0 0.0 0.0000490

\(\phi_{2 \cap 3}\)

Breakpoint \(\kappa\)
rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
breakpoint[20] 4.044279 2.2244915 775 1.0094154 867 991 1 0.0797638 1.0224602 1.1738956 1.6062930 3.373132 7.437609 9.036172 9.751567 1.3286830 3.373132 8.419269 0.0123750 0.0155322 0.0354942 0.1012296 0.2077380 0.1821516 0.1080295 0.0564227
breakpoint[2] 1.219216 0.2614632 2417 1.0012139 3318 1813 1 0.0053261 0.8115064 0.8640402 0.9479689 1.169833 1.566378 1.858835 2.087425 0.9043149 1.169833 1.703551 0.0023875 0.0023223 0.0017026 0.0034201 0.0145744 0.0458951 0.0295487 0.0040299
breakpoint[3] 2.950793 0.6270179 5281 1.0011622 5666 3867 1 0.0086354 1.6787130 1.8505181 2.1793621 2.907034 3.786602 4.310837 4.598308 2.0000804 2.907034 4.053010 0.0142581 0.0107243 0.0072787 0.0104427 0.0200017 0.0511725 0.0518596 0.0064038
breakpoint[21] 1.215222 0.2153295 3102 1.0008816 5649 2626 1 0.0038635 0.9534475 0.9842785 1.0443641 1.162268 1.440235 1.835039 2.050094 1.0112479 1.162268 1.644310 0.0014299 0.0018659 0.0012609 0.0011015 0.0114898 0.0456017 0.0491482 0.0029130
breakpoint[6] 3.918228 0.7335100 3578 1.0007506 4486 2409 1 0.0122289 2.5750328 2.7276630 3.0618967 3.825583 4.897199 5.608479 6.032612 2.8720566 3.825583 5.275008 0.0107263 0.0081875 0.0072783 0.0103419 0.0295807 0.0757448 0.0951855 0.0093172
breakpoint[16] 3.620304 0.1566041 21194 1.0004748 21213 19379 1 0.0010741 3.2579727 3.3145434 3.4157917 3.623291 3.822180 3.930621 3.983633 3.3582004 3.623291 3.876693 0.0027627 0.0027891 0.0018779 0.0012610 0.0020908 0.0029385 0.0092459 0.0007607
breakpoint[29] 3.603884 0.2895118 18442 1.0004681 18903 17359 1 0.0021314 3.0184270 3.1135214 3.2607075 3.580624 3.989773 4.259965 4.412853 3.1853777 3.580624 4.124635 0.0076459 0.0032036 0.0028144 0.0024598 0.0046747 0.0110463 0.0119731 0.0015136
breakpoint[28] 4.130690 1.0624918 15815 1.0004003 16347 17155 1 0.0084454 1.7094558 1.9945362 2.6445384 4.215426 5.443168 5.896804 6.093060 2.2825531 4.215426 5.684738 0.0193379 0.0162613 0.0189182 0.0163577 0.0096845 0.0111663 0.0151943 0.0060648
breakpoint[30] 1.998949 0.2931147 10037 1.0003824 10138 11875 1 0.0029218 1.2987195 1.3984334 1.6199139 2.022478 2.336951 2.566631 2.725203 1.5158090 2.022478 2.446669 0.0051011 0.0070349 0.0051492 0.0033808 0.0032512 0.0067300 0.0242850 0.0020661
breakpoint[1] 10.603934 0.2129499 13578 1.0003327 14221 10868 1 0.0018251 10.0256279 10.1561458 10.3276074 10.615902 10.864278 10.992480 11.056200 10.2431322 10.615902 10.937457 0.0066502 0.0098049 0.0029349 0.0019090 0.0029337 0.0033222 0.0043789 0.0012906
breakpoint[24] 5.611941 0.2893159 7809 1.0003151 9698 5854 1 0.0032700 4.6443598 4.9329904 5.2400958 5.663974 5.918782 6.032100 6.097726 5.0734966 5.663974 5.983045 0.0351874 0.0215334 0.0110906 0.0026249 0.0020141 0.0033576 0.0033230 0.0023123
breakpoint[19] 2.970185 0.3717038 15803 1.0003060 15852 16207 1 0.0029559 1.9874392 2.1495517 2.4589480 3.002968 3.408134 3.622564 3.727925 2.3049393 3.002968 3.517556 0.0119280 0.0095033 0.0052923 0.0030675 0.0036186 0.0057627 0.0076479 0.0020906
breakpoint[11] 3.045161 0.5599654 18370 1.0002811 18075 19927 1 0.0041249 1.7818834 1.9836090 2.3588211 3.028098 3.758009 4.258043 4.561947 2.1566185 3.028098 4.036114 0.0159240 0.0095240 0.0064802 0.0049709 0.0105711 0.0095999 0.0155837 0.0029168
breakpoint[37] 5.114171 0.6687163 20132 1.0002588 20290 21283 1 0.0047113 3.4627225 3.6875143 4.1564773 5.186892 5.904629 6.188265 6.324016 3.8825444 5.186892 6.050742 0.0160779 0.0159737 0.0109573 0.0063750 0.0038114 0.0073274 0.0051616 0.0033412
breakpoint[33] 2.659823 0.1120091 19298 1.0002587 19731 17821 1 0.0008062 2.4122055 2.4484924 2.5266424 2.653010 2.807698 2.905395 2.955433 2.4850713 2.653010 2.858811 0.0025721 0.0013570 0.0011642 0.0008792 0.0021032 0.0038101 0.0036981 0.0005723
breakpoint[23] 9.820213 0.2723658 15870 1.0002180 16183 11692 1 0.0021617 9.1502341 9.2816832 9.4721805 9.823766 10.161231 10.338329 10.444430 9.3678176 9.823766 10.255451 0.0164324 0.0069534 0.0049613 0.0019760 0.0034354 0.0039643 0.0051617 0.0015286
breakpoint[7] 4.667995 0.2490807 15591 1.0002137 15841 12891 1 0.0019946 4.0482036 4.1692550 4.3571462 4.672437 4.973514 5.155976 5.256743 4.2593742 4.672437 5.063407 0.0110769 0.0065343 0.0034335 0.0023208 0.0022763 0.0043451 0.0079151 0.0014104
breakpoint[36] 3.651309 0.4205906 9782 1.0002136 8670 6341 1 0.0042482 2.4113451 2.6150213 3.0491949 3.725308 4.109104 4.281021 4.376921 2.8211433 3.725308 4.199917 0.0162303 0.0215160 0.0145941 0.0039289 0.0052167 0.0108213 0.0151457 0.0030819
breakpoint[25] 7.834003 0.5164736 12802 1.0001942 12679 10341 1 0.0045599 6.7726767 6.9142530 7.1769904 7.820055 8.525137 8.840124 8.991100 7.0303607 7.820055 8.703207 0.0144379 0.0085745 0.0059123 0.0054674 0.0078670 0.0078103 0.0120991 0.0032244
breakpoint[22] 2.015951 0.4492860 18128 1.0001784 18238 17985 1 0.0033357 0.9570073 1.1096400 1.4293686 2.026628 2.591949 2.859690 2.995894 1.2572857 2.026628 2.740794 0.0074405 0.0080509 0.0073445 0.0038301 0.0050935 0.0076670 0.0104120 0.0023753
breakpoint[15] 4.764470 0.2842857 18140 1.0001772 18521 13807 1 0.0021099 4.1479552 4.2356985 4.4119689 4.750492 5.131590 5.346015 5.487378 4.3172358 4.750492 5.247820 0.0080371 0.0042421 0.0029887 0.0022678 0.0058919 0.0058797 0.0177325 0.0015041
breakpoint[14] 4.037187 0.0877013 20815 1.0001768 21078 18216 1 0.0006078 3.8408301 3.8730452 3.9284866 4.034730 4.150684 4.217933 4.256487 3.8983502 4.034730 4.186730 0.0018394 0.0011989 0.0009473 0.0007509 0.0011661 0.0018035 0.0035241 0.0004306
breakpoint[5] 11.630662 0.4166994 22846 1.0001673 22944 21910 1 0.0027565 10.6844427 10.8478570 11.1110437 11.622578 12.155801 12.484378 12.692108 10.9644353 11.622578 12.327065 0.0102805 0.0062090 0.0045240 0.0028043 0.0048147 0.0083747 0.0094809 0.0019513
breakpoint[27] 10.406908 4.8971528 7412 1.0001673 8406 8302 1 0.0566330 3.4913353 3.8154717 4.7480583 8.579804 17.345128 19.130599 19.965250 4.1410557 8.579804 18.281492 0.0195919 0.0228174 0.0385098 0.0748232 0.0433872 0.0997038 0.0788331 0.0400575
breakpoint[4] 2.560814 0.3949510 15148 1.0001322 15113 13649 1 0.0032075 1.6791183 1.7888801 2.0398177 2.567438 3.039411 3.373099 3.598394 1.8949871 2.567438 3.218035 0.0098783 0.0057734 0.0065862 0.0040737 0.0061051 0.0159161 0.0189561 0.0022828
breakpoint[34] 6.822856 0.9172873 12644 1.0001306 12367 12324 1 0.0081525 3.9756970 4.6271007 5.6550566 6.926340 7.862791 8.342529 8.591727 5.1502030 6.926340 8.112716 0.0390402 0.0508643 0.0294711 0.0080156 0.0079440 0.0127968 0.0219880 0.0058235
breakpoint[13] 10.047208 0.4812281 24246 1.0001202 24293 23823 1 0.0030891 8.9745597 9.1438140 9.4542462 10.018984 10.685976 11.036353 11.255500 9.2939595 10.018984 10.871915 0.0127200 0.0088888 0.0054696 0.0038418 0.0065063 0.0083161 0.0147325 0.0021844
breakpoint[9] 4.414595 0.2223370 16240 1.0001137 17218 13322 1 0.0017412 3.8593411 3.9557045 4.1297713 4.417420 4.690723 4.817797 4.902990 4.0351655 4.417420 4.751838 0.0116305 0.0078167 0.0031135 0.0020688 0.0018302 0.0034140 0.0055142 0.0012312
breakpoint[31] 10.739212 1.5441873 20042 1.0001050 20062 19883 1 0.0108975 3.7284131 5.6848097 9.2466098 11.005647 12.177303 12.676923 12.948404 8.3742684 11.005647 12.451201 0.0350538 0.6820801 0.0226528 0.0085125 0.0097379 0.0118140 0.0168243 0.0077103
breakpoint[8] 3.033460 0.4880979 20080 1.0000933 19778 21049 1 0.0034377 1.6437516 1.9076873 2.4096652 3.072390 3.594336 3.907734 4.103601 2.1479624 3.072390 3.753872 0.0170629 0.0168552 0.0104924 0.0032934 0.0053609 0.0071204 0.0155367 0.0024490
breakpoint[26] 4.754915 0.2897777 11155 1.0000690 11931 8752 1 0.0027433 4.0072511 4.1562706 4.3894394 4.760120 5.105203 5.293677 5.398163 4.2781512 4.760120 5.197683 0.0181128 0.0099391 0.0063559 0.0029454 0.0024082 0.0054487 0.0061743 0.0019398
breakpoint[17] 4.941121 0.0826812 22914 1.0000662 23036 20847 1 0.0005458 4.7541558 4.7831973 4.8373378 4.939208 5.043676 5.110508 5.147597 4.8069256 4.939208 5.077133 0.0019171 0.0012529 0.0008572 0.0005469 0.0010082 0.0023896 0.0028379 0.0003864
breakpoint[32] 2.174922 0.1478220 23376 1.0000625 22954 23483 1 0.0009663 1.7911253 1.8802251 2.0118186 2.169121 2.343495 2.517177 2.610451 1.9495500 2.169121 2.416888 0.0059658 0.0055178 0.0014393 0.0009124 0.0022864 0.0076624 0.0061539 0.0006833
breakpoint[12] 9.985921 0.3023483 23999 1.0000408 24015 23604 1 0.0019511 9.2616091 9.3775233 9.6019170 9.986511 10.370233 10.576424 10.699121 9.4797056 9.986511 10.482040 0.0065843 0.0050192 0.0039378 0.0024302 0.0038003 0.0049556 0.0100517 0.0013797
breakpoint[10] 2.039885 0.2826092 22068 1.0000372 22154 22726 1 0.0019004 1.4070205 1.5031699 1.6691949 2.038857 2.395761 2.601038 2.692026 1.5871549 2.038857 2.492777 0.0036275 0.0061816 0.0026621 0.0021705 0.0026884 0.0063992 0.0076412 0.0013438
breakpoint[18] 2.860638 0.1237039 22567 1.0000141 22816 21743 1 0.0008233 2.5710883 2.6282211 2.7152356 2.852904 3.012175 3.125417 3.215048 2.6701886 2.852904 3.072175 0.0052095 0.0026644 0.0013475 0.0008589 0.0016468 0.0035949 0.0053854 0.0005831
breakpoint[35] 4.425671 0.2302365 24570 0.9999472 24541 23602 1 0.0014690 3.8976630 3.9908580 4.1453852 4.420719 4.718888 4.902283 5.004895 4.0668094 4.420719 4.813050 0.0073882 0.0055878 0.0022680 0.0016146 0.0027278 0.0058375 0.0057868 0.0010387
Slope before \(\eta_{1, i}^{b}\)
rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
eta_slope[20,1] 2.826785 0.4699349 1192 1.0093538 895 641 1 0.0136293 1.1409503 1.5512225 2.1983358 2.9611795 3.249483 3.292999 3.309982 1.8612887 2.9611795 3.275903 0.0376540 0.0315911 0.0264855 0.0144595 0.0024246 0.0037722 0.0099465 0.0101892
eta_slope[2,1] 0.909810 0.3091290 4522 1.0013052 4246 2508 1 0.0045963 0.1878817 0.2815511 0.4912381 0.9273204 1.294412 1.476006 1.576048 0.3710796 0.9273204 1.388502 0.0057762 0.0041603 0.0055205 0.0056606 0.0059892 0.0158366 0.0239679 0.0036626
eta_slope[3,1] 3.176360 0.4546456 7699 1.0011483 6482 4185 1 0.0051770 1.7761629 2.0890855 2.5772432 3.2425599 3.702767 3.869010 3.921828 2.3385268 3.2425599 3.806358 0.0296045 0.0134338 0.0101414 0.0062145 0.0077943 0.0065853 0.0059487 0.0038340
eta_slope[6,1] 4.630465 0.2676779 5867 1.0006762 5080 2603 1 0.0034931 4.1236378 4.1752177 4.3059131 4.6052308 4.984816 5.211910 5.342164 4.2297951 4.6052308 5.108288 0.0138574 0.0079899 0.0051229 0.0043132 0.0044062 0.0063906 0.0088454 0.0024701
eta_slope[21,1] 5.576868 0.6536960 4723 1.0005800 6271 2887 1 0.0094973 3.5178470 3.9051750 4.6974479 5.6824057 6.286161 6.576484 6.738167 4.2278871 5.6824057 6.449694 0.1015736 0.0539612 0.0322603 0.0055674 0.0054770 0.0065305 0.0118322 0.0067160
eta_slope[30,1] 4.857212 0.5239048 10042 1.0004521 9710 9870 1 0.0052165 3.8005208 3.9571838 4.2659989 4.7899630 5.543689 6.046295 6.377946 4.1111538 4.7899630 5.808687 0.0117441 0.0140688 0.0059286 0.0049696 0.0122270 0.0223366 0.0348688 0.0036887
eta_slope[28,1] 5.964959 0.2394108 13964 1.0004192 12363 11744 1 0.0020258 5.1036159 5.3424759 5.6731540 6.0194256 6.187383 6.256989 6.301965 5.5011217 6.0194256 6.225702 0.0144981 0.0100205 0.0070034 0.0021877 0.0015501 0.0017831 0.0057283 0.0014478
eta_slope[27,1] 2.180886 0.2061397 7729 1.0004102 7065 6220 1 0.0023394 1.5276705 1.6555473 1.9021373 2.2219369 2.383586 2.411860 2.425914 1.7701836 2.2219369 2.398153 0.0106515 0.0091939 0.0058122 0.0025825 0.0008202 0.0014478 0.0015680 0.0016771
eta_slope[1,1] 2.899531 0.0453174 17203 1.0003769 17320 14558 1 0.0003453 2.7933638 2.8126524 2.8427927 2.8987497 2.956954 2.993198 3.011717 2.8272775 2.8987497 2.974795 0.0009246 0.0007934 0.0004566 0.0004203 0.0007132 0.0013872 0.0012864 0.0002444
eta_slope[24,1] 4.838171 0.1259670 10006 1.0003742 11206 7576 1 0.0012573 4.4755301 4.5644663 4.6790170 4.8478511 4.984959 5.057955 5.096576 4.6176800 4.8478511 5.023569 0.0180145 0.0046377 0.0030093 0.0014159 0.0011266 0.0026845 0.0027140 0.0008891
eta_slope[34,1] 4.452837 0.0790593 13034 1.0003603 13193 12042 1 0.0006913 4.2466679 4.2854576 4.3543623 4.4558977 4.546514 4.598742 4.635645 4.3196552 4.4558977 4.573855 0.0032821 0.0027481 0.0014367 0.0007771 0.0012869 0.0017931 0.0046720 0.0004889
eta_slope[36,1] 7.414046 0.4883189 11977 1.0003465 11776 10649 1 0.0044534 5.7834027 6.1724295 6.7899284 7.5034599 7.917706 8.117236 8.209812 6.4978044 7.5034599 8.032429 0.0468170 0.0220202 0.0116738 0.0047867 0.0046242 0.0079459 0.0116483 0.0031559
eta_slope[12,1] 4.336098 0.0508518 24131 1.0003013 24143 23219 1 0.0003273 4.2164884 4.2371902 4.2718945 4.3353128 4.401346 4.438947 4.460026 4.2538830 4.3353128 4.421025 0.0010673 0.0008643 0.0005302 0.0003592 0.0005588 0.0010311 0.0012295 0.0002315
eta_slope[19,1] 1.751234 0.3704547 15533 1.0002660 14709 11595 1 0.0029713 0.7086125 0.9099289 1.2574054 1.7964837 2.191715 2.360866 2.458521 1.0702576 1.7964837 2.284555 0.0142259 0.0059731 0.0066464 0.0032949 0.0039160 0.0070057 0.0055250 0.0021636
eta_slope[22,1] 4.317815 0.5634290 15868 1.0002175 15477 15284 1 0.0044702 2.3984934 2.9213100 3.6217849 4.4141448 4.894144 5.149589 5.282977 3.2448398 4.4141448 5.020991 0.0264562 0.0280155 0.0136171 0.0050406 0.0047108 0.0087899 0.0072615 0.0031939
eta_slope[4,1] 2.135141 0.3973063 16620 1.0002119 15974 13622 1 0.0030806 1.0011879 1.2453543 1.6085481 2.1725358 2.601641 2.810692 2.911253 1.4137342 2.1725358 2.722270 0.0163545 0.0140580 0.0053808 0.0034543 0.0039304 0.0092227 0.0054878 0.0022238
eta_slope[13,1] 2.853648 0.0352929 22771 1.0001564 22816 24149 1 0.0002337 2.7653395 2.7805480 2.8078181 2.8548802 2.897377 2.919831 2.933219 2.7942620 2.8548802 2.909152 0.0010007 0.0007286 0.0003812 0.0002786 0.0003110 0.0005781 0.0008899 0.0001653
eta_slope[10,1] 6.327801 0.3915579 20980 1.0001457 20933 19036 1 0.0027012 5.4826187 5.6237833 5.8582768 6.2976962 6.838953 7.185376 7.356524 5.7397716 6.2976962 7.023841 0.0102925 0.0065479 0.0037893 0.0028925 0.0049160 0.0083014 0.0154079 0.0019101
eta_slope[7,1] 3.985929 0.2504969 16960 1.0001398 17063 15513 1 0.0019232 3.3694988 3.4681121 3.6724873 3.9886974 4.298164 4.469384 4.575176 3.5657541 3.9886974 4.388597 0.0060315 0.0062185 0.0039403 0.0023811 0.0030134 0.0055492 0.0081117 0.0013599
eta_slope[25,1] 4.358926 0.0656988 14606 1.0001309 14583 11768 1 0.0005429 4.2044073 4.2313917 4.2739596 4.3587069 4.443441 4.485683 4.505729 4.2515070 4.3587069 4.466288 0.0028016 0.0012083 0.0007905 0.0006311 0.0007625 0.0016858 0.0022140 0.0003845
eta_slope[15,1] 5.231213 0.1446043 17513 1.0001219 17859 14084 1 0.0010925 4.8665864 4.9357086 5.0406327 5.2356058 5.412737 5.501381 5.544281 4.9871969 5.2356058 5.460382 0.0059354 0.0042450 0.0018436 0.0013996 0.0016258 0.0019246 0.0029355 0.0007726
eta_slope[32,1] 4.681254 0.2124892 23082 1.0001199 22743 22935 1 0.0013975 4.1259335 4.2402653 4.4295674 4.6815616 4.934511 5.104806 5.211018 4.3371486 4.6815616 5.020711 0.0033745 0.0049327 0.0026620 0.0014652 0.0025122 0.0042655 0.0080904 0.0009882
eta_slope[31,1] 4.559739 0.1874787 20394 1.0001057 19453 19162 1 0.0013125 3.4829300 4.1774379 4.4683367 4.5925376 4.675900 4.714902 4.733101 4.4020681 4.5925376 4.697663 0.0256087 0.0503289 0.0016821 0.0007336 0.0009489 0.0011769 0.0013996 0.0009308
eta_slope[37,1] 3.384403 0.1329366 20408 1.0000959 20327 20221 1 0.0009305 3.1011862 3.1451890 3.2264894 3.3744102 3.559467 3.676293 3.741468 3.1818645 3.3744102 3.619960 0.0026797 0.0028968 0.0017647 0.0012417 0.0022278 0.0019205 0.0055505 0.0006580
eta_slope[23,1] 2.747510 0.0287986 18129 1.0000948 18153 16194 1 0.0002138 2.6780725 2.6900854 2.7106261 2.7477565 2.783874 2.804092 2.815716 2.7000717 2.7477565 2.794002 0.0010610 0.0006895 0.0002758 0.0003009 0.0003900 0.0006109 0.0014927 0.0001514
eta_slope[9,1] 1.876467 0.0983015 17865 1.0000694 18570 15941 1 0.0007351 1.6012409 1.6609782 1.7511779 1.8837333 1.994412 2.048203 2.076762 1.7073102 1.8837333 2.024214 0.0065307 0.0031721 0.0014473 0.0007199 0.0010713 0.0015056 0.0029936 0.0005198
eta_slope[11,1] 1.175071 0.1332247 17218 1.0000574 17055 16962 1 0.0010149 0.8323064 0.8936161 1.0063159 1.1794633 1.338109 1.418460 1.466028 0.9514634 1.1794633 1.382742 0.0043177 0.0031340 0.0019732 0.0013808 0.0019331 0.0026636 0.0048417 0.0007206
eta_slope[29,1] 6.352111 0.2682527 19259 1.0000555 19635 18075 1 0.0019313 5.6216731 5.7699247 6.0009979 6.3728506 6.674300 6.818701 6.910294 5.8791697 6.3728506 6.753438 0.0158878 0.0076163 0.0036469 0.0023255 0.0024883 0.0026785 0.0053041 0.0013657
eta_slope[14,1] 5.774334 0.1083684 20815 1.0000537 20943 19043 1 0.0007511 5.5107456 5.5564504 5.6321903 5.7777328 5.910539 5.976911 6.012389 5.5931493 5.7777328 5.946861 0.0039809 0.0024437 0.0016865 0.0008989 0.0010005 0.0017321 0.0020229 0.0005311
eta_slope[5,1] 2.675965 0.0248243 23379 1.0000447 23431 21918 1 0.0001623 2.6148370 2.6261757 2.6443777 2.6762568 2.707623 2.723282 2.732218 2.6346540 2.6762568 2.716121 0.0008336 0.0004179 0.0002821 0.0002082 0.0002416 0.0005666 0.0005361 0.0001148
eta_slope[33,1] 5.448454 0.2240527 19576 1.0000370 19702 16772 1 0.0016006 4.9188111 5.0054091 5.1634095 5.4506258 5.729949 5.891056 5.990790 5.0768678 5.4506258 5.814381 0.0110756 0.0062592 0.0037071 0.0019911 0.0026377 0.0039669 0.0044214 0.0011318
eta_slope[16,1] 3.308640 0.3707063 22049 1.0000298 21869 19735 1 0.0024950 2.3268731 2.5032472 2.8288889 3.3349549 3.761590 3.965889 4.073544 2.6589556 3.3349549 3.874823 0.0097568 0.0092574 0.0051177 0.0024935 0.0034181 0.0037876 0.0075549 0.0017715
eta_slope[26,1] 2.950994 0.0649164 14495 1.0000120 14508 12384 1 0.0005388 2.7826990 2.8175675 2.8693905 2.9521598 3.032362 3.076299 3.101470 2.8419385 2.9521598 3.053866 0.0021816 0.0018199 0.0011431 0.0007688 0.0008325 0.0020027 0.0025532 0.0003817
eta_slope[18,1] 2.969026 0.0716700 23281 1.0000066 23312 23128 1 0.0004698 2.7877362 2.8241685 2.8806525 2.9694225 3.057847 3.110936 3.141842 2.8515065 2.9694225 3.084870 0.0026886 0.0013960 0.0012122 0.0005128 0.0006130 0.0019030 0.0018807 0.0003322
eta_slope[17,1] 3.911248 0.0497764 23118 0.9999820 23336 22089 1 0.0003273 3.7796499 3.8053296 3.8465188 3.9140875 3.972174 4.001378 4.016544 3.8250690 3.9140875 3.988262 0.0016417 0.0011693 0.0006951 0.0003916 0.0004267 0.0005904 0.0006361 0.0002314
eta_slope[35,1] 3.347795 0.0594402 24318 0.9999516 24330 24137 1 0.0003811 3.2034465 3.2270455 3.2726251 3.3479845 3.421937 3.463316 3.486020 3.2491302 3.3479845 3.444881 0.0019811 0.0011154 0.0006692 0.0005950 0.0006051 0.0011369 0.0018294 0.0002695
eta_slope[8,1] 3.688628 0.1777478 18905 0.9999453 18611 18261 1 0.0012911 3.2551951 3.3437886 3.4797638 3.6887734 3.894716 4.043497 4.165300 3.4080078 3.6887734 3.966741 0.0115465 0.0035065 0.0028797 0.0012901 0.0023409 0.0050990 0.0099302 0.0009130
Slope after \(\eta_{1, i}^{a}\)
rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
eta_slope[20,2] 3.3168432 0.0979859 933 1.0137057 1036 705 1 0.0031827 3.0012651 3.0613364 3.1882633 3.337045 3.4175745 3.4590044 3.4765529 3.1316270 3.337045 3.4382677 0.0173716 0.0181458 0.0090597 0.0028264 0.0019332 0.0054077 0.0026590 0.0022534
eta_slope[6,2] 3.6656131 0.0149383 6851 1.0007951 7021 4035 1 0.0001805 3.6296315 3.6351478 3.6462347 3.665874 3.6842104 3.6945624 3.7004165 3.6395747 3.665874 3.6895158 0.0014976 0.0005032 0.0004720 0.0002019 0.0001944 0.0003944 0.0006754 0.0001276
eta_slope[21,2] 2.5691973 0.1083267 6146 1.0006882 7172 6304 1 0.0013794 2.2514757 2.3303461 2.4447137 2.572580 2.6897048 2.7763768 2.8359428 2.3930674 2.572580 2.7319263 0.0167479 0.0101416 0.0031416 0.0009301 0.0024781 0.0053558 0.0088369 0.0009754
eta_slope[27,2] 2.3174358 0.0723597 7266 1.0006641 7078 6993 1 0.0008472 2.1199062 2.1513032 2.2071587 2.343915 2.3858323 2.4036157 2.4124016 2.1766457 2.343915 2.3951028 0.0027907 0.0025285 0.0018203 0.0008546 0.0006268 0.0007843 0.0013523 0.0005991
eta_slope[24,2] 8.3881429 0.5536975 10070 1.0006484 10376 6688 1 0.0055087 7.0445675 7.2609762 7.6676484 8.408575 9.0684248 9.4336216 9.6628646 7.4415775 8.408575 9.2563866 0.0230291 0.0279907 0.0107384 0.0075624 0.0052691 0.0071139 0.0181868 0.0038953
eta_slope[2,2] 2.6640224 0.0977619 3310 1.0006010 4915 2776 1 0.0016992 2.4820510 2.5113557 2.5674998 2.652320 2.7716378 2.8861955 2.9755365 2.5376241 2.652320 2.8300920 0.0049427 0.0025652 0.0011622 0.0012658 0.0038979 0.0088370 0.0110216 0.0012408
eta_slope[30,2] 1.7678643 0.2532487 12113 1.0005165 11940 12407 1 0.0023009 1.0808653 1.2245368 1.4531669 1.778224 2.0732259 2.2279869 2.3016789 1.3438134 1.778224 2.1600805 0.0123571 0.0095209 0.0047610 0.0032663 0.0033996 0.0036823 0.0075451 0.0016408
eta_slope[34,2] 4.9799466 0.2201233 13836 1.0003863 13358 12157 1 0.0018682 4.5432475 4.6017815 4.7207148 4.957907 5.2633321 5.4591429 5.5901856 4.6522057 4.957907 5.3669530 0.0069463 0.0036819 0.0023430 0.0019088 0.0037118 0.0056020 0.0085749 0.0013210
eta_slope[3,2] 4.9675713 0.1139356 7415 1.0003565 8119 5898 1 0.0013225 4.7252496 4.7609360 4.8285548 4.961843 5.1114560 5.2101397 5.2613864 4.7925313 4.961843 5.1597348 0.0017797 0.0026963 0.0016345 0.0011484 0.0023202 0.0058298 0.0107506 0.0009427
eta_slope[25,2] 2.4889926 0.3516015 13831 1.0003495 12855 11085 1 0.0029859 1.4533107 1.6586145 2.0165277 2.546016 2.8841156 3.0114920 3.0791810 1.8290929 2.546016 2.9579586 0.0125298 0.0113874 0.0062543 0.0038414 0.0036643 0.0051207 0.0078266 0.0021546
eta_slope[28,2] 5.8517411 0.3149826 13480 1.0003398 13340 13417 1 0.0027119 4.9488556 5.1264082 5.4335608 5.898300 6.2018706 6.3379284 6.4268789 5.2786832 5.898300 6.2765475 0.0092841 0.0116646 0.0062191 0.0031424 0.0026954 0.0057160 0.0076800 0.0019206
eta_slope[37,2] 2.0125996 0.2640788 19689 1.0002949 19593 18891 1 0.0018809 1.3288836 1.4520121 1.6587462 2.028553 2.3407766 2.4724237 2.5309815 1.5500782 2.028553 2.4092459 0.0095693 0.0063280 0.0035699 0.0026933 0.0026106 0.0028312 0.0051528 0.0013356
eta_slope[7,2] 8.3670811 0.5104069 16734 1.0002838 16600 14001 1 0.0039428 7.2036257 7.4259850 7.7420741 8.346785 9.0165352 9.4268171 9.6859153 7.5830141 8.346785 9.2234388 0.0318816 0.0130240 0.0086446 0.0047222 0.0043902 0.0121330 0.0167322 0.0027881
eta_slope[29,2] 2.5425505 0.3159235 17973 1.0002817 18797 16545 1 0.0023535 1.6885234 1.8590538 2.1464499 2.563876 2.9177957 3.1058665 3.2298778 1.9812743 2.563876 3.0114344 0.0167745 0.0091476 0.0045563 0.0023225 0.0029764 0.0065688 0.0084940 0.0016642
eta_slope[23,2] 1.5922093 0.1299868 17983 1.0002801 17672 14383 1 0.0009688 1.2543162 1.3161682 1.4280413 1.595800 1.7524740 1.8352066 1.8842633 1.3719456 1.595800 1.7940190 0.0055861 0.0024881 0.0017846 0.0011100 0.0016809 0.0028489 0.0062444 0.0006928
eta_slope[36,2] 11.9444720 0.5001011 8303 1.0002238 8508 6812 1 0.0054751 10.7399016 10.9237032 11.2916604 11.966094 12.5668918 12.9196778 13.0803506 11.0967242 11.966094 12.7519854 0.0165625 0.0183052 0.0093022 0.0049122 0.0094027 0.0210668 0.0285536 0.0039010
eta_slope[16,2] 11.2881537 0.1387760 22647 1.0002152 22650 21531 1 0.0009219 10.9617742 11.0225299 11.1137454 11.286109 11.4628161 11.5704189 11.6296090 11.0681021 11.286109 11.5176452 0.0038966 0.0030015 0.0016442 0.0013769 0.0015955 0.0031264 0.0073939 0.0006520
eta_slope[19,2] 5.2719431 0.5504702 11025 1.0002032 10857 8531 1 0.0052306 4.0143347 4.2422772 4.5914628 5.259400 5.9767426 6.3994771 6.6616408 4.4059574 5.259400 6.1975187 0.0189188 0.0171869 0.0086225 0.0052520 0.0105910 0.0116862 0.0217788 0.0036987
eta_slope[4,2] 4.0823622 0.2087425 15449 1.0002024 15560 13291 1 0.0016790 3.6295670 3.7065933 3.8333867 4.072798 4.3371777 4.5246000 4.6578324 3.7655674 4.072798 4.4340066 0.0051027 0.0033396 0.0019339 0.0019000 0.0041708 0.0080316 0.0083242 0.0011887
eta_slope[31,2] 5.4412387 0.1156278 19248 1.0001774 19226 18350 1 0.0008327 5.1471604 5.1969980 5.2975881 5.442539 5.5876123 5.6634637 5.7137592 5.2468176 5.442539 5.6287117 0.0031039 0.0020859 0.0018288 0.0010123 0.0015382 0.0022340 0.0027183 0.0005889
eta_slope[33,2] 1.3239620 0.0944378 21098 1.0001693 21129 21189 1 0.0006503 1.0818575 1.1293851 1.2041756 1.326845 1.4401176 1.5043439 1.5436034 1.1637294 1.326845 1.4742832 0.0031765 0.0022967 0.0009915 0.0007832 0.0008455 0.0015711 0.0033934 0.0004598
eta_slope[1,2] 0.4697416 0.1571773 14439 1.0001643 14836 11514 1 0.0013069 0.1252891 0.1734435 0.2698896 0.467370 0.6717842 0.7878996 0.8531325 0.2188289 0.467370 0.7346133 0.0025913 0.0024467 0.0022617 0.0016094 0.0029879 0.0051337 0.0086702 0.0009773
eta_slope[13,2] 1.8098871 0.0581710 24160 1.0001187 24203 23726 1 0.0003742 1.6562200 1.6854594 1.7340280 1.813395 1.8813394 1.9151703 1.9331560 1.7093302 1.813395 1.8994645 0.0021365 0.0013448 0.0006300 0.0004638 0.0005627 0.0008714 0.0012602 0.0002646
eta_slope[8,2] 4.1949725 0.2268692 18833 1.0000965 18754 18915 1 0.0016518 3.6913333 3.7753962 3.9179754 4.189983 4.4809745 4.6643267 4.7768310 3.8427396 4.189983 4.5714648 0.0057067 0.0038297 0.0026977 0.0022110 0.0031977 0.0059038 0.0090520 0.0011680
eta_slope[35,2] 2.4813297 0.0732806 24211 1.0000854 24205 23519 1 0.0004709 2.3009100 2.3336587 2.3885762 2.481650 2.5725176 2.6217643 2.6521389 2.3596417 2.481650 2.5978530 0.0023076 0.0013665 0.0009391 0.0004743 0.0006043 0.0010543 0.0017243 0.0003332
eta_slope[32,2] 2.0936980 0.3010990 20147 1.0000717 20174 20056 1 0.0021204 1.2128532 1.4307039 1.7329295 2.109597 2.4445796 2.6453517 2.7931305 1.5870384 2.109597 2.5463569 0.0157780 0.0116044 0.0041295 0.0019548 0.0037578 0.0055843 0.0090165 0.0014993
eta_slope[17,2] 1.2745028 0.0370570 24078 1.0000670 24102 22384 1 0.0002387 1.1864664 1.2002237 1.2267916 1.275143 1.3210185 1.3458886 1.3627438 1.2129081 1.275143 1.3338560 0.0006232 0.0006333 0.0005191 0.0003047 0.0003317 0.0006582 0.0014030 0.0001688
eta_slope[10,2] 3.3339340 0.4710769 21627 1.0000534 21340 21442 1 0.0031998 1.9330153 2.2522481 2.7361058 3.383348 3.8710907 4.1185115 4.2654502 2.4915037 3.383348 4.0053543 0.0239068 0.0108056 0.0059907 0.0044197 0.0048579 0.0049559 0.0116203 0.0022777
eta_slope[9,2] 4.2895652 0.2627574 17134 1.0000375 16889 13887 1 0.0020064 3.7040842 3.7958849 3.9681432 4.278953 4.6240510 4.8382809 4.9514011 3.8764118 4.278953 4.7354369 0.0083562 0.0067821 0.0043274 0.0020028 0.0026870 0.0057228 0.0071674 0.0014188
eta_slope[14,2] 1.8125950 0.0327793 22347 1.0000274 22354 21489 1 0.0002193 1.7339058 1.7478387 1.7710083 1.812470 1.8539208 1.8763196 1.8887618 1.7587365 1.812470 1.8664152 0.0012184 0.0006698 0.0004903 0.0002871 0.0004421 0.0004531 0.0007674 0.0001550
eta_slope[22,2] 4.3499685 0.6685948 14956 1.0000123 14558 15443 1 0.0054596 2.5380241 2.9669409 3.5968011 4.357589 5.1019531 5.6796190 6.0808751 3.2987173 4.357589 5.4047107 0.0356048 0.0308519 0.0090890 0.0053056 0.0093413 0.0165216 0.0232959 0.0038606
eta_slope[18,2] 1.8536330 0.0539646 22937 1.0000100 22988 22980 1 0.0003563 1.7170048 1.7414612 1.7866173 1.854928 1.9184205 1.9569027 1.9813336 1.7640464 1.854928 1.9381966 0.0027905 0.0011965 0.0007126 0.0003585 0.0005801 0.0011162 0.0013665 0.0002520
eta_slope[26,2] 1.4824007 0.2541229 13411 1.0000068 13021 9685 1 0.0021944 0.8016445 0.9337426 1.1576632 1.496471 1.7894840 1.9489333 2.0381876 1.0465775 1.496471 1.8655675 0.0105247 0.0067372 0.0036002 0.0025915 0.0034510 0.0073793 0.0160989 0.0016131
eta_slope[5,2] 2.0140190 0.0191653 23284 1.0000004 23368 22639 1 0.0001255 1.9660892 1.9752814 1.9898526 2.014198 2.0381402 2.0505607 2.0573330 1.9819787 2.014198 2.0449530 0.0006062 0.0003286 0.0001808 0.0001556 0.0001989 0.0003283 0.0004035 0.0000888
eta_slope[11,2] 1.4925945 0.1235407 16703 0.9999895 16535 15715 1 0.0009553 1.1739314 1.2533665 1.3500982 1.490944 1.6393908 1.7436018 1.8128968 1.3044857 1.490944 1.6896717 0.0070185 0.0033750 0.0013105 0.0009180 0.0017221 0.0032445 0.0064515 0.0006790
eta_slope[15,2] 2.5890544 0.1196068 19740 0.9999701 19954 17570 1 0.0008508 2.2804863 2.3394640 2.4365851 2.593218 2.7366153 2.8115639 2.8564761 2.3848754 2.593218 2.7772383 0.0048292 0.0029287 0.0014663 0.0010783 0.0010959 0.0021834 0.0025182 0.0006016
eta_slope[12,2] 2.6624371 0.0720848 23779 0.9999409 23760 24080 1 0.0004673 2.4831824 2.5167980 2.5717394 2.663334 2.7531344 2.8001797 2.8249394 2.5431979 2.663334 2.7772506 0.0017934 0.0016012 0.0006985 0.0005449 0.0008092 0.0005888 0.0014590 0.0003305

\(\psi_{2}\)

rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
alpha -0.5730122 0.1389747 4965 1.0009887 5220 14468 1 0.0019453 -0.9138898 -0.8548301 -0.7541225 -0.5690950 -0.3975466 -0.3126176 -0.2650859 -0.8071042 -0.5690950 -0.3514499 0.0054011 0.0032463 0.0027336 0.0020858 0.0018073 0.0022488 0.0036678 0.0014079
theta[15] -0.1296655 0.3137230 9408 1.0008095 9323 24075 1 0.0032433 -0.8840750 -0.7580884 -0.5322423 -0.1252104 0.2664670 0.4710664 0.5828581 -0.6570787 -0.1252104 0.3790108 0.0075596 0.0055159 0.0036699 0.0028624 0.0035157 0.0053235 0.0069324 0.0022934
theta[18] -0.6073965 0.2625340 10993 1.0006053 11142 19504 1 0.0024914 -1.2283449 -1.1313151 -0.9433970 -0.6034723 -0.2752383 -0.0983897 -0.0036690 -1.0422067 -0.6034723 -0.1813483 0.0053790 0.0052541 0.0023466 0.0028556 0.0030822 0.0042173 0.0069071 0.0017618
theta[14] -0.0065839 0.2871818 10085 1.0005490 10100 22829 1 0.0028649 -0.7055138 -0.5825177 -0.3788404 -0.0012279 0.3582045 0.5418934 0.6321876 -0.4885126 -0.0012279 0.4558828 0.0079575 0.0044830 0.0028559 0.0029334 0.0030923 0.0044792 0.0057910 0.0020259
theta[11] -0.1594202 0.2638440 15753 1.0004107 15937 22774 1 0.0020898 -0.7955186 -0.6906909 -0.5015083 -0.1545057 0.1712133 0.3429244 0.4254042 -0.6003252 -0.1545057 0.2661625 0.0063177 0.0061540 0.0030565 0.0025801 0.0031570 0.0039089 0.0062349 0.0014778
theta[16] 0.0341749 0.2368840 16789 1.0003716 16964 22799 1 0.0018189 -0.5291989 -0.4348582 -0.2665956 0.0339179 0.3362866 0.4937312 0.5904286 -0.3545939 0.0339179 0.4210671 0.0076820 0.0036053 0.0027902 0.0022079 0.0028721 0.0033967 0.0046030 0.0012862
theta[3] -0.2992400 0.2370817 17024 1.0003614 17091 22437 1 0.0018131 -0.8425388 -0.7634711 -0.6045069 -0.2997481 0.0039823 0.1672089 0.2577202 -0.6882603 -0.2997481 0.0900603 0.0052695 0.0046875 0.0024062 0.0020206 0.0030067 0.0039352 0.0091992 0.0012821
theta[5] 0.1434516 0.2730566 16808 1.0003532 16839 22287 1 0.0021031 -0.5040644 -0.3950737 -0.2061934 0.1460412 0.4912284 0.6798119 0.7756062 -0.3083689 0.1460412 0.5916181 0.0066287 0.0048472 0.0035159 0.0028262 0.0030123 0.0052503 0.0052655 0.0014872
theta[1] -0.0969954 0.4158951 12484 1.0002791 12756 18327 1 0.0036867 -1.0710710 -0.9100376 -0.6327901 -0.0992526 0.4328330 0.7183139 0.8760844 -0.7810795 -0.0992526 0.5881771 0.0090977 0.0074268 0.0055403 0.0040444 0.0048717 0.0064487 0.0077091 0.0026069
theta[2] -0.1750345 0.2250274 14121 1.0002499 14064 23941 1 0.0018958 -0.6995555 -0.6184249 -0.4627567 -0.1761675 0.1148886 0.2682087 0.3492644 -0.5411402 -0.1761675 0.1970709 0.0050821 0.0039353 0.0024915 0.0021978 0.0025203 0.0041572 0.0041156 0.0013405
theta[6] 0.1991501 0.2296240 13012 1.0002145 13059 21904 1 0.0020120 -0.3470347 -0.2575314 -0.0955448 0.2006047 0.4918167 0.6485518 0.7250374 -0.1784990 0.2006047 0.5767927 0.0061406 0.0050363 0.0028719 0.0022540 0.0027857 0.0035853 0.0062467 0.0014228
theta[8] -0.0585393 0.2839493 21192 1.0002018 21272 23566 1 0.0019459 -0.7174912 -0.6135062 -0.4204487 -0.0596380 0.3059935 0.5011541 0.5964462 -0.5232157 -0.0596380 0.4101199 0.0081650 0.0059103 0.0031356 0.0026567 0.0032698 0.0047151 0.0062269 0.0013760
theta[7] -0.0247870 0.2965830 16829 1.0001486 17366 19491 1 0.0022690 -0.7315558 -0.6201370 -0.4046264 -0.0243436 0.3585811 0.5415093 0.6418349 -0.5194421 -0.0243436 0.4578612 0.0066481 0.0049565 0.0038738 0.0027894 0.0027679 0.0035437 0.0073134 0.0016045
theta[17] 0.0338528 0.2391852 13801 1.0001234 13998 22056 1 0.0020214 -0.5351994 -0.4372046 -0.2716343 0.0346712 0.3402391 0.4975617 0.5905013 -0.3591824 0.0346712 0.4250277 0.0070417 0.0039327 0.0030434 0.0024031 0.0027812 0.0042763 0.0049372 0.0014294
theta[13] -0.1059282 0.3283537 16491 1.0001012 16443 21418 1 0.0025527 -0.9164776 -0.7779536 -0.5287232 -0.0969039 0.3091664 0.5110216 0.6095282 -0.6575166 -0.0969039 0.4163198 0.0106636 0.0082595 0.0040251 0.0036658 0.0036292 0.0057948 0.0069956 0.0018051
theta[10] 0.0704572 0.2191472 19167 1.0000957 19265 23344 1 0.0015791 -0.4456458 -0.3612300 -0.2099873 0.0705956 0.3505113 0.4982199 0.5804226 -0.2913611 0.0705956 0.4296393 0.0066402 0.0037744 0.0022846 0.0019471 0.0021948 0.0036039 0.0052988 0.0011166
theta[4] -0.2007617 0.2890848 17744 1.0000826 17895 23803 1 0.0021645 -0.8916005 -0.7819125 -0.5735369 -0.1936377 0.1615676 0.3490353 0.4595336 -0.6866789 -0.1936377 0.2611899 0.0090168 0.0055609 0.0035790 0.0026454 0.0028860 0.0047393 0.0089382 0.0015306
hazard_gamma 0.6862848 0.1233291 18604 1.0000628 18763 23477 1 0.0009026 0.4268801 0.4627480 0.5314240 0.6801938 0.8479786 0.9400357 0.9953278 0.4930842 0.6801938 0.8979842 0.0025669 0.0015083 0.0010817 0.0011465 0.0014283 0.0020829 0.0029361 0.0006393
theta[12] -0.0870505 0.3272835 18198 1.0000155 18266 22786 1 0.0024215 -0.8821945 -0.7461063 -0.5074574 -0.0815648 0.3248585 0.5366037 0.6624636 -0.6384706 -0.0815648 0.4395462 0.0110651 0.0060342 0.0038815 0.0027777 0.0032791 0.0057379 0.0065050 0.0017123
theta[9] -0.3134249 0.2667019 21216 0.9999798 21305 23808 1 0.0018279 -0.9537466 -0.8460429 -0.6568359 -0.3082005 0.0262846 0.1996189 0.2911319 -0.7571426 -0.3082005 0.1172094 0.0093068 0.0047435 0.0026599 0.0022158 0.0030901 0.0040657 0.0072625 0.0012925

Fix \(\phi_{1 \cap 2}\)

  • Issues with \(i = 34\) (fixed with odd fluid obs removed (pre admit fluid intake + OR intake + zeros))

\(\phi_{2 \cap 3}\)

Breakpoint \(\kappa\)
rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
breakpoint[20] 4.083573 2.2173985 791 1.0029376 933 1085 1 0.0781133 1.0218694 1.1863400 1.637112 3.383056 7.444056 8.898020 9.495278 1.3721057 3.383056 8.222235 0.0205124 0.0150944 0.0332669 0.1093827 0.1335434 0.0695079 0.0935209 0.0552544
breakpoint[6] 3.926294 0.7395850 3487 1.0022665 4383 2362 1 0.0124750 2.5855536 2.7348713 3.060802 3.826911 4.951359 5.669667 5.945782 2.8849845 3.826911 5.294335 0.0107608 0.0080291 0.0071817 0.0128336 0.0327388 0.0403282 0.1016228 0.0096450
breakpoint[2] 1.227704 0.2711041 2385 1.0012928 3475 1626 1 0.0055431 0.8150045 0.8651016 0.948863 1.172948 1.579721 1.922621 2.127537 0.9050663 1.172948 1.759689 0.0025168 0.0028196 0.0020101 0.0034010 0.0171133 0.0346636 0.0559851 0.0042307
breakpoint[21] 1.212873 0.2189513 2468 1.0010331 5547 2385 1 0.0044004 0.9518436 0.9828625 1.042954 1.160994 1.411904 1.864591 2.232661 1.0106442 1.160994 1.609667 0.0021097 0.0013721 0.0011468 0.0010120 0.0103870 0.0852683 0.0986642 0.0033443
breakpoint[3] 2.963685 0.6300238 5208 1.0009367 5724 3324 1 0.0087066 1.6984874 1.8623480 2.193638 2.922520 3.820057 4.300620 4.537012 2.0092701 2.922520 4.070704 0.0097553 0.0087584 0.0068515 0.0082772 0.0278903 0.0436493 0.0678630 0.0065582
breakpoint[16] 3.615588 0.1553563 20904 1.0006760 20927 20109 1 0.0010726 3.2576070 3.3072965 3.409300 3.618710 3.811323 3.916667 3.971985 3.3535144 3.618710 3.870153 0.0036512 0.0029969 0.0020651 0.0011995 0.0021949 0.0024682 0.0016074 0.0007594
breakpoint[26] 4.757215 0.2855705 12762 1.0006429 13056 9875 1 0.0025253 4.0521297 4.1739618 4.393466 4.760097 5.110601 5.298992 5.397221 4.2718442 4.760097 5.198781 0.0109818 0.0133664 0.0048486 0.0024537 0.0030880 0.0061231 0.0072673 0.0017857
breakpoint[4] 2.559285 0.3957664 14351 1.0005965 14371 12508 1 0.0033013 1.6756603 1.7862844 2.032020 2.563130 3.043676 3.363560 3.552741 1.8937161 2.563130 3.216204 0.0089856 0.0070104 0.0049593 0.0041802 0.0050214 0.0101066 0.0199846 0.0023638
breakpoint[34] 6.821692 0.9037926 12313 1.0005425 12172 12251 1 0.0081344 4.0220671 4.6929623 5.678000 6.918906 7.850305 8.329346 8.596515 5.1647000 6.918906 8.102412 0.0575497 0.0380519 0.0249189 0.0085528 0.0071718 0.0174505 0.0194645 0.0057872
breakpoint[31] 10.791224 1.4724504 19011 1.0003849 18524 19121 1 0.0106724 3.8384791 7.1688972 9.324240 11.027600 12.221033 12.690715 12.936915 8.4771217 11.027600 12.466715 0.0425486 0.1370174 0.0245884 0.0106334 0.0096975 0.0115156 0.0125916 0.0075933
breakpoint[24] 5.607141 0.2930976 7042 1.0003080 9696 5129 1 0.0034852 4.5979404 4.8883808 5.226778 5.659806 5.916153 6.036307 6.095314 5.0676201 5.659806 5.981207 0.0732721 0.0237925 0.0104490 0.0027411 0.0021002 0.0039098 0.0040063 0.0024645
breakpoint[13] 10.074604 0.4926508 22345 1.0002678 22428 21262 1 0.0032941 8.9734963 9.1561567 9.470014 10.042297 10.723315 11.088722 11.307521 9.2987698 10.042297 10.928645 0.0133403 0.0084882 0.0056525 0.0037978 0.0066595 0.0125386 0.0135095 0.0023302
breakpoint[23] 9.821536 0.2764558 16272 1.0002609 16667 12600 1 0.0021654 9.1453402 9.2743641 9.465529 9.825743 10.171085 10.347211 10.454393 9.3702515 9.825743 10.264379 0.0179372 0.0068264 0.0043047 0.0024140 0.0035402 0.0056148 0.0093079 0.0015312
breakpoint[27] 10.287269 4.7498846 7299 1.0002599 8347 9097 1 0.0555235 3.4900468 3.8101769 4.824392 8.553678 17.202278 18.889122 19.701588 4.1849350 8.553678 18.125958 0.0266398 0.0218062 0.0364232 0.0596902 0.0529152 0.0773510 0.0860067 0.0397187
breakpoint[17] 4.940589 0.0832979 23080 1.0002470 23290 21022 1 0.0005480 4.7492550 4.7809167 4.836484 4.939720 5.043256 5.107813 5.156356 4.8051445 4.939720 5.076492 0.0016734 0.0012385 0.0008065 0.0004858 0.0011092 0.0026348 0.0035307 0.0003878
breakpoint[1] 10.603836 0.2118535 13396 1.0001983 13986 10179 1 0.0018294 10.0345378 10.1487595 10.329296 10.616444 10.862183 10.989029 11.057908 10.2411356 10.616444 10.932408 0.0081987 0.0112967 0.0035962 0.0018925 0.0023171 0.0031514 0.0041374 0.0012936
breakpoint[25] 7.839452 0.5099619 13369 1.0001887 13219 10243 1 0.0044084 6.7668228 6.9091334 7.189293 7.837810 8.507794 8.833488 8.988244 7.0388703 7.837810 8.695043 0.0101804 0.0106315 0.0066112 0.0069869 0.0055198 0.0071876 0.0098103 0.0031173
breakpoint[22] 2.017154 0.4481346 17985 1.0001868 18140 18275 1 0.0033402 0.9599298 1.1103565 1.428411 2.023524 2.594450 2.863361 2.996450 1.2625897 2.023524 2.739287 0.0110726 0.0084780 0.0058416 0.0036608 0.0050286 0.0075721 0.0102916 0.0023640
breakpoint[29] 3.633592 0.2953483 16356 1.0001843 17246 12782 1 0.0023091 3.0564787 3.1407679 3.284455 3.604966 4.027042 4.307689 4.449006 3.2090123 3.604966 4.170133 0.0053633 0.0038914 0.0029862 0.0026828 0.0043780 0.0070561 0.0133977 0.0016532
breakpoint[19] 2.985860 0.3691281 18451 1.0001762 18411 19239 1 0.0027158 2.0010314 2.1646929 2.480558 3.021654 3.425308 3.619735 3.729455 2.3098593 3.021654 3.522153 0.0157060 0.0084449 0.0076181 0.0038768 0.0037808 0.0052569 0.0060766 0.0019241
breakpoint[12] 9.983765 0.3036791 23640 1.0001660 23645 23287 1 0.0019751 9.2503248 9.3699201 9.596637 9.989728 10.363480 10.581941 10.690007 9.4715627 9.989728 10.477563 0.0080688 0.0039474 0.0038955 0.0026237 0.0037590 0.0047543 0.0064172 0.0013966
breakpoint[36] 3.670019 0.4027841 14644 1.0001652 15490 13739 1 0.0033260 2.4513539 2.6696692 3.101781 3.739944 4.105393 4.255740 4.350553 2.8750409 3.739944 4.187458 0.0197251 0.0115303 0.0117725 0.0035719 0.0032055 0.0035621 0.0060340 0.0023519
breakpoint[15] 4.755566 0.2816771 19225 1.0001526 19466 16571 1 0.0020296 4.1321622 4.2268942 4.402317 4.743526 5.121697 5.335480 5.452667 4.3106605 4.743526 5.236969 0.0066422 0.0036622 0.0027181 0.0023874 0.0037393 0.0061283 0.0089949 0.0014428
breakpoint[32] 2.179594 0.1484980 23922 1.0000922 23555 24369 1 0.0009590 1.8127341 1.8942559 2.014134 2.172900 2.349178 2.532928 2.623436 1.9535702 2.172900 2.426210 0.0038892 0.0044438 0.0018257 0.0009270 0.0017224 0.0058962 0.0057150 0.0006781
breakpoint[7] 4.670912 0.2481504 16969 1.0000807 17104 13351 1 0.0019047 4.0559709 4.1682375 4.360032 4.672286 4.981342 5.158662 5.257278 4.2579858 4.672286 5.068732 0.0070409 0.0038142 0.0037921 0.0024930 0.0025064 0.0037340 0.0070555 0.0013469
breakpoint[8] 3.024935 0.4921779 20625 1.0000706 20199 19962 1 0.0034241 1.6346157 1.8889052 2.379805 3.068522 3.593923 3.890749 4.087273 2.1212663 3.068522 3.753270 0.0149474 0.0090692 0.0098996 0.0039642 0.0049919 0.0070353 0.0084107 0.0024404
breakpoint[28] 4.046276 1.0577880 14920 1.0000695 15521 15806 1 0.0086490 1.7221728 2.0189569 2.600738 4.037728 5.388180 5.863848 6.115628 2.2829489 4.037728 5.648604 0.0283113 0.0173060 0.0117391 0.0117627 0.0084804 0.0151679 0.0244099 0.0062086
breakpoint[33] 2.661205 0.1135952 19887 1.0000651 20334 16874 1 0.0008049 2.4102635 2.4525342 2.527305 2.653554 2.813209 2.909847 2.966226 2.4885677 2.653554 2.868146 0.0028664 0.0022205 0.0012238 0.0008337 0.0017750 0.0022591 0.0051547 0.0005715
breakpoint[5] 11.633026 0.4191215 21792 1.0000521 21828 21252 1 0.0028360 10.6824895 10.8385256 11.107867 11.630236 12.161845 12.483081 12.694995 10.9668428 11.630236 12.331469 0.0136365 0.0075419 0.0048901 0.0030344 0.0050555 0.0099030 0.0186195 0.0020068
breakpoint[9] 4.409969 0.2214965 14076 1.0000429 14577 10785 1 0.0018644 3.8386204 3.9436770 4.129513 4.413677 4.684033 4.805742 4.889319 4.0341601 4.413677 4.747416 0.0120838 0.0071645 0.0033177 0.0018276 0.0022087 0.0035890 0.0074489 0.0013184
breakpoint[10] 2.049138 0.2821999 22696 1.0000375 22744 21406 1 0.0018721 1.4159297 1.5112135 1.676596 2.046671 2.401083 2.604738 2.710007 1.5945525 2.046671 2.502576 0.0041208 0.0054843 0.0028501 0.0021287 0.0026304 0.0032930 0.0059706 0.0013238
breakpoint[18] 2.861560 0.1255203 22929 1.0000371 23002 22376 1 0.0008285 2.5711750 2.6263313 2.716000 2.852392 3.014607 3.132313 3.220877 2.6704983 2.852392 3.073988 0.0034279 0.0024125 0.0015011 0.0008399 0.0024027 0.0041705 0.0047518 0.0005876
breakpoint[11] 3.039071 0.5570326 17960 1.0000278 17487 20072 1 0.0041508 1.8124254 1.9908346 2.356431 3.018471 3.741113 4.262635 4.571633 2.1582766 3.018471 4.014261 0.0160881 0.0082413 0.0054008 0.0049123 0.0103041 0.0096582 0.0204874 0.0029351
breakpoint[37] 5.119205 0.6629000 21287 1.0000258 21476 21294 1 0.0045423 3.4760703 3.7130152 4.168758 5.196853 5.902782 6.187747 6.326386 3.9099274 5.196853 6.054570 0.0130292 0.0114137 0.0075695 0.0047349 0.0035353 0.0062240 0.0077405 0.0032182
breakpoint[14] 4.037616 0.0873042 20945 1.0000030 21112 19124 1 0.0006032 3.8390989 3.8736714 3.929227 4.034911 4.151248 4.219036 4.259678 3.8984601 4.034911 4.187934 0.0018546 0.0012999 0.0007258 0.0007134 0.0013330 0.0017776 0.0026608 0.0004271
breakpoint[35] 4.427790 0.2339041 24854 0.9999847 24817 24382 1 0.0014833 3.9022478 3.9905793 4.140582 4.424300 4.723494 4.909839 5.014880 4.0588190 4.424300 4.821706 0.0040235 0.0039152 0.0022459 0.0018545 0.0024260 0.0046089 0.0076045 0.0010488
breakpoint[30] 2.050776 0.2977431 14776 0.9999689 15193 14259 1 0.0024467 1.3136824 1.4024986 1.588183 2.087024 2.365481 2.603126 2.786123 1.4966276 2.087024 2.481914 0.0065458 0.0053246 0.0036080 0.0022804 0.0031527 0.0086191 0.0175184 0.0017301
Slope before \(\eta_{1, i}^{b}\)
rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
eta_slope[20,1] 2.8364804 0.4683218 1142 1.0049347 810 632 1 0.0138153 1.2072050 1.5721593 2.2020603 2.9791091 3.251525 3.300591 3.325956 1.8794980 2.9791091 3.274165 0.0520734 0.0331364 0.0317910 0.0252244 0.0051380 0.0116748 0.0054184 0.0104507
eta_slope[6,1] 4.6298865 0.2660421 5465 1.0021526 4641 2828 1 0.0035894 4.1139449 4.1764102 4.3027940 4.6048244 4.985172 5.210774 5.338106 4.2376002 4.6048244 5.099701 0.0162220 0.0103228 0.0079474 0.0035665 0.0040609 0.0070192 0.0076381 0.0025382
eta_slope[21,1] 5.5947872 0.6472178 3905 1.0012537 5669 2304 1 0.0103488 3.5104679 3.9233937 4.7651420 5.6971012 6.290477 6.578466 6.747093 4.3109173 5.6971012 6.454039 0.0542309 0.0786956 0.0371891 0.0059399 0.0043423 0.0068554 0.0117092 0.0073182
eta_slope[2,1] 0.9156997 0.3112927 4310 1.0008836 4083 2241 1 0.0047370 0.1870358 0.2843665 0.4966351 0.9300904 1.313412 1.487086 1.578328 0.3801818 0.9300904 1.408872 0.0057541 0.0064586 0.0051349 0.0065799 0.0090359 0.0186660 0.0151618 0.0037352
eta_slope[4,1] 2.1312689 0.4010644 14612 1.0007799 13859 12490 1 0.0033109 0.9964391 1.2143620 1.5975244 2.1700617 2.606249 2.820803 2.918146 1.3979714 2.1700617 2.721645 0.0158962 0.0099426 0.0074103 0.0033366 0.0059573 0.0090445 0.0040807 0.0024098
eta_slope[27,1] 2.1817096 0.2042220 8063 1.0003616 7108 6254 1 0.0022736 1.5290092 1.6556224 1.9036013 2.2220920 2.383135 2.410305 2.427488 1.7728493 2.2220920 2.397629 0.0138403 0.0069797 0.0057032 0.0029118 0.0008854 0.0017642 0.0024227 0.0016325
eta_slope[11,1] 1.1729056 0.1323270 17933 1.0003611 17712 17437 1 0.0009873 0.8322886 0.8912485 1.0035866 1.1787486 1.335101 1.415874 1.462249 0.9478297 1.1787486 1.380319 0.0045314 0.0037377 0.0017427 0.0013615 0.0020722 0.0029282 0.0031655 0.0007016
eta_slope[3,1] 3.1830621 0.4502868 7829 1.0003016 6583 4056 1 0.0050737 1.8148194 2.1040944 2.5929828 3.2482728 3.710703 3.863976 3.944937 2.3517398 3.2482728 3.807549 0.0199558 0.0166195 0.0080358 0.0047231 0.0081368 0.0087905 0.0164202 0.0037548
eta_slope[24,1] 4.8373847 0.1279771 8943 1.0002944 11232 7089 1 0.0013498 4.4475739 4.5513960 4.6789750 4.8471227 4.984986 5.060127 5.098788 4.6209554 4.8471227 5.025180 0.0156362 0.0072060 0.0031880 0.0010435 0.0013382 0.0018159 0.0033044 0.0009545
eta_slope[7,1] 3.9899321 0.2482559 18024 1.0002546 18111 16273 1 0.0018487 3.3756848 3.4844049 3.6842385 3.9902736 4.302904 4.474184 4.567309 3.5833328 3.9902736 4.397481 0.0104923 0.0061650 0.0040839 0.0023382 0.0024093 0.0040700 0.0039262 0.0013072
eta_slope[13,1] 2.8524272 0.0360439 21924 1.0002381 21977 21719 1 0.0002433 2.7621449 2.7770051 2.8056310 2.8535883 2.897066 2.919627 2.933191 2.7915069 2.8535883 2.909028 0.0009638 0.0008571 0.0005696 0.0003075 0.0004144 0.0005205 0.0006759 0.0001721
eta_slope[36,1] 7.4302330 0.4741339 16086 1.0002203 16879 14308 1 0.0037372 5.8009545 6.2530276 6.8344853 7.5120137 7.928164 8.122552 8.209249 6.5432146 7.5120137 8.030256 0.0352695 0.0199000 0.0138690 0.0041350 0.0036710 0.0053515 0.0064632 0.0026426
eta_slope[25,1] 4.3581130 0.0653827 14974 1.0002113 14962 11886 1 0.0005341 4.2015487 4.2305220 4.2740677 4.3575891 4.442991 4.483238 4.504784 4.2517595 4.3575891 4.465875 0.0019420 0.0013182 0.0008870 0.0005552 0.0008968 0.0010373 0.0031231 0.0003782
eta_slope[23,1] 2.7471827 0.0288472 19199 1.0001969 19155 17199 1 0.0002081 2.6785458 2.6893546 2.7101306 2.7470834 2.783782 2.802980 2.814105 2.6994668 2.7470834 2.793753 0.0008004 0.0004497 0.0003384 0.0002635 0.0003350 0.0005937 0.0012840 0.0001472
eta_slope[29,1] 6.3395538 0.2698412 17715 1.0001683 18408 15470 1 0.0020263 5.6030716 5.7574441 5.9876867 6.3601193 6.668632 6.813499 6.889076 5.8692234 6.3601193 6.745871 0.0099845 0.0079349 0.0041376 0.0026683 0.0027020 0.0036180 0.0042803 0.0014328
eta_slope[35,1] 3.3471663 0.0599322 24697 1.0001680 24724 24370 1 0.0003813 3.2036673 3.2263995 3.2715051 3.3477429 3.422085 3.463506 3.487658 3.2477675 3.3477429 3.444079 0.0019928 0.0012672 0.0007226 0.0004486 0.0006235 0.0010158 0.0015389 0.0002696
eta_slope[1,1] 2.9004767 0.0452179 17527 1.0001610 17580 16269 1 0.0003415 2.7942937 2.8116900 2.8436459 2.8994492 2.957998 2.989744 3.013635 2.8280073 2.8994492 2.974740 0.0015523 0.0009376 0.0006322 0.0004259 0.0006274 0.0012763 0.0015416 0.0002417
eta_slope[5,1] 2.6759152 0.0250310 22680 1.0001581 22743 21827 1 0.0001662 2.6152519 2.6262683 2.6435736 2.6762997 2.707906 2.723799 2.732357 2.6344631 2.6762997 2.716356 0.0007920 0.0004957 0.0002979 0.0002525 0.0002960 0.0005572 0.0004325 0.0001175
eta_slope[33,1] 5.4449075 0.2227697 19985 1.0001578 20018 16958 1 0.0015753 4.9163945 5.0043674 5.1594195 5.4476483 5.727398 5.883660 5.979018 5.0786356 5.4476483 5.809062 0.0092039 0.0036921 0.0025861 0.0017038 0.0023793 0.0045816 0.0080820 0.0011139
eta_slope[31,1] 4.5664497 0.1718840 20186 1.0001513 18678 19271 1 0.0012088 3.5976177 4.3159892 4.4729586 4.5946900 4.678593 4.716237 4.734557 4.4147673 4.5946900 4.698732 0.0268163 0.0151591 0.0014291 0.0006014 0.0008056 0.0012265 0.0012957 0.0008584
eta_slope[37,1] 3.3839582 0.1319227 20953 1.0001318 20976 20580 1 0.0009110 3.0978324 3.1436509 3.2252896 3.3743997 3.560303 3.667616 3.726983 3.1821002 3.3743997 3.617773 0.0025647 0.0033556 0.0014124 0.0011368 0.0017208 0.0030055 0.0026998 0.0006441
eta_slope[26,1] 2.9519289 0.0647040 14835 1.0001279 14805 12551 1 0.0005309 2.7902247 2.8221637 2.8696457 2.9524242 3.032517 3.079240 3.106192 2.8448850 2.9524242 3.056489 0.0023514 0.0017627 0.0007280 0.0006280 0.0008983 0.0016808 0.0019893 0.0003763
eta_slope[8,1] 3.6927702 0.1789530 17976 1.0001191 17841 17564 1 0.0013343 3.2584528 3.3406443 3.4790887 3.6938836 3.902602 4.050287 4.168515 3.4080376 3.6938836 3.970198 0.0104871 0.0063061 0.0021749 0.0014011 0.0021470 0.0066253 0.0129618 0.0009435
eta_slope[22,1] 4.3193280 0.5612971 15095 1.0001172 14480 14268 1 0.0045665 2.4096611 2.9112215 3.6370420 4.4118061 4.897533 5.145707 5.280018 3.2572867 4.4118061 5.028781 0.0329225 0.0256381 0.0132393 0.0053920 0.0041158 0.0089429 0.0080180 0.0032755
eta_slope[19,1] 1.7411575 0.3802099 17392 1.0001001 16603 14116 1 0.0028823 0.6299729 0.8554453 1.2414838 1.7845549 2.187137 2.358122 2.468284 1.0370187 1.7845549 2.282989 0.0175847 0.0082286 0.0076347 0.0038695 0.0046434 0.0064834 0.0042139 0.0020902
eta_slope[9,1] 1.8779383 0.0974476 16555 1.0000865 17234 13819 1 0.0007569 1.6157408 1.6657678 1.7513754 1.8848822 1.995029 2.048268 2.078704 1.7082057 1.8848822 2.024474 0.0056930 0.0035437 0.0016595 0.0007586 0.0009107 0.0013598 0.0023806 0.0005352
eta_slope[28,1] 5.9524496 0.2520740 13365 1.0000829 12092 11025 1 0.0021795 5.0601071 5.3092701 5.6444994 6.0123134 6.186354 6.255718 6.300092 5.4645582 6.0123134 6.224959 0.0242845 0.0123641 0.0069579 0.0018133 0.0020581 0.0019970 0.0045865 0.0015516
eta_slope[30,1] 4.7843567 0.5153615 14696 1.0000797 14746 12615 1 0.0042492 3.7641349 3.9406657 4.2328181 4.7097313 5.477528 6.050055 6.378007 4.0859831 4.7097313 5.789161 0.0119154 0.0119649 0.0072180 0.0034461 0.0138920 0.0199675 0.0179564 0.0030047
eta_slope[10,1] 6.3206804 0.3926008 21382 1.0000785 21294 20911 1 0.0026833 5.4632994 5.6091685 5.8525832 6.2931297 6.831138 7.171162 7.356737 5.7265677 6.2931297 7.012474 0.0070995 0.0084157 0.0049651 0.0040746 0.0053679 0.0117040 0.0206953 0.0018974
eta_slope[34,1] 4.4511999 0.0785971 12926 1.0000765 13240 10237 1 0.0006907 4.2466679 4.2824365 4.3528317 4.4539217 4.543509 4.592379 4.630242 4.3172382 4.4539217 4.568427 0.0049187 0.0025887 0.0013293 0.0008064 0.0007201 0.0019700 0.0026042 0.0004884
eta_slope[15,1] 5.2381358 0.1420118 18846 1.0000684 19086 16524 1 0.0010336 4.8858000 4.9515296 5.0527965 5.2444220 5.417240 5.501839 5.546714 4.9969528 5.2444220 5.461202 0.0054218 0.0028134 0.0023173 0.0012485 0.0015322 0.0016715 0.0024555 0.0007309
eta_slope[16,1] 3.3062449 0.3684081 21970 1.0000511 21501 19164 1 0.0024877 2.3398421 2.5056359 2.8257899 3.3321177 3.754658 3.949962 4.049292 2.6550711 3.3321177 3.867387 0.0082824 0.0099173 0.0058065 0.0029969 0.0035179 0.0042626 0.0071859 0.0017727
eta_slope[18,1] 2.9698523 0.0722763 23328 1.0000379 23441 22732 1 0.0004729 2.7850987 2.8212724 2.8798267 2.9708998 3.058502 3.110226 3.141812 2.8497921 2.9708998 3.085279 0.0020241 0.0019903 0.0008501 0.0005323 0.0005890 0.0013805 0.0020762 0.0003344
eta_slope[17,1] 3.9111899 0.0507277 22789 1.0000294 22996 22316 1 0.0003355 3.7749065 3.8029671 3.8451625 3.9137099 3.972919 4.003153 4.019759 3.8240527 3.9137099 3.989613 0.0021418 0.0017608 0.0007158 0.0004024 0.0004109 0.0008091 0.0007153 0.0002372
eta_slope[12,1] 4.3365131 0.0507721 24175 0.9999921 24185 23166 1 0.0003265 4.2193504 4.2380890 4.2720812 4.3356110 4.401919 4.437530 4.461899 4.2543960 4.3356110 4.420696 0.0009145 0.0007794 0.0006137 0.0004118 0.0006124 0.0012080 0.0014700 0.0002309
eta_slope[14,1] 5.7748790 0.1077688 21114 0.9999619 21298 18853 1 0.0007416 5.5045198 5.5518571 5.6337921 5.7781181 5.911108 5.974634 6.012089 5.5937726 5.7781181 5.946145 0.0046481 0.0030388 0.0014224 0.0008249 0.0009415 0.0015443 0.0017758 0.0005244
eta_slope[32,1] 4.6790437 0.2102579 23475 0.9999410 23471 23718 1 0.0013722 4.1378670 4.2405908 4.4263348 4.6805805 4.930368 5.103147 5.207208 4.3319143 4.6805805 5.016714 0.0058816 0.0054544 0.0034868 0.0015116 0.0026894 0.0041194 0.0070531 0.0009716
Slope after \(\eta_{1, i}^{a}\)
rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
eta_slope[20,2] 3.3142339 0.0951224 732 1.0106315 758 674 1 0.0035397 3.0442800 3.0920229 3.1768683 3.3336983 3.4189028 3.4589429 3.4777726 3.1279542 3.3336983 3.444085 0.0071395 0.0099564 0.0122065 0.0037895 0.0036069 0.0039907 0.0038138 0.0025079
eta_slope[2,2] 2.6697467 0.1034389 2751 1.0014709 3982 2253 1 0.0019656 2.4859673 2.5226070 2.5704171 2.6543458 2.7824283 2.9182710 3.0230741 2.5438465 2.6543458 2.837507 0.0041685 0.0025445 0.0011781 0.0011096 0.0045480 0.0292065 0.0156936 0.0014220
eta_slope[27,2] 2.3205472 0.0718475 7002 1.0008298 6426 5420 1 0.0008581 2.1219573 2.1547657 2.2113275 2.3460698 2.3864888 2.4057541 2.4123202 2.1804081 2.3460698 2.397153 0.0029951 0.0031830 0.0016052 0.0006814 0.0006834 0.0009474 0.0010642 0.0006068
eta_slope[26,2] 1.4779870 0.2520880 13960 1.0007975 13533 10599 1 0.0021306 0.7915189 0.9376514 1.1518514 1.4928317 1.7855064 1.9288686 2.0237409 1.0451259 1.4928317 1.861631 0.0105516 0.0071319 0.0029647 0.0028446 0.0032577 0.0064375 0.0107385 0.0015491
eta_slope[6,2] 3.6654115 0.0148625 7307 1.0005815 7518 5004 1 0.0001736 3.6305593 3.6357415 3.6460688 3.6656347 3.6838575 3.6943001 3.6996104 3.6407251 3.6656347 3.689416 0.0005789 0.0006490 0.0002631 0.0001658 0.0001810 0.0004345 0.0004082 0.0001228
eta_slope[21,2] 2.5693643 0.1079881 6222 1.0005511 7429 5343 1 0.0013611 2.2514881 2.3468751 2.4438720 2.5713033 2.6921922 2.7793569 2.8517007 2.3950792 2.5713033 2.737336 0.0200953 0.0057404 0.0028497 0.0011734 0.0020621 0.0033934 0.0150399 0.0009625
eta_slope[25,2] 2.4892025 0.3477708 15049 1.0004096 13792 10513 1 0.0028330 1.4533107 1.6761581 2.0231792 2.5445403 2.8827854 3.0171647 3.0879322 1.8396778 2.5445403 2.962227 0.0119023 0.0100276 0.0048278 0.0029576 0.0041582 0.0041156 0.0119870 0.0020503
eta_slope[3,2] 4.9694801 0.1117049 7003 1.0004035 7246 6000 1 0.0013338 4.7269517 4.7646493 4.8324992 4.9647545 5.1120527 5.2138046 5.2558262 4.7969715 4.9647545 5.161877 0.0038347 0.0029493 0.0017190 0.0015666 0.0021719 0.0051073 0.0060391 0.0009471
eta_slope[34,2] 4.9797887 0.2175476 13948 1.0003271 13500 13356 1 0.0018406 4.5432475 4.6025542 4.7203185 4.9603549 5.2615868 5.4530282 5.5910307 4.6536085 4.9603549 5.365444 0.0066981 0.0025334 0.0020459 0.0024693 0.0034297 0.0081377 0.0095516 0.0013016
eta_slope[36,2] 11.9691430 0.4861430 13792 1.0002958 14009 11526 1 0.0041371 10.7816148 10.9820482 11.3343909 11.9866301 12.5763017 12.8839255 13.0794708 11.1342511 11.9866301 12.744773 0.0123055 0.0094797 0.0096147 0.0048058 0.0049938 0.0076837 0.0128265 0.0029254
eta_slope[9,2] 4.2808121 0.2576713 15378 1.0002745 15075 10613 1 0.0020785 3.7005961 3.7923701 3.9596762 4.2700153 4.6123190 4.8052391 4.9278188 3.8712878 4.2700153 4.718445 0.0099960 0.0039023 0.0042568 0.0026481 0.0036934 0.0046347 0.0099835 0.0014698
eta_slope[4,2] 4.0825090 0.2064010 15295 1.0002727 15499 13138 1 0.0016678 3.6327896 3.7073908 3.8357909 4.0735480 4.3401246 4.5218309 4.6373824 3.7678266 4.0735480 4.429157 0.0056438 0.0041230 0.0020454 0.0018655 0.0032710 0.0069057 0.0133799 0.0011824
eta_slope[19,2] 5.3170501 0.5465698 15183 1.0002426 14948 12398 1 0.0044326 4.0941845 4.3108701 4.6435926 5.3008364 6.0202336 6.4356077 6.7038154 4.4707442 5.3008364 6.237364 0.0147632 0.0148156 0.0066798 0.0045145 0.0061178 0.0104589 0.0145824 0.0031344
eta_slope[22,2] 4.3373012 0.6730167 14949 1.0002417 14694 14391 1 0.0055022 2.5368951 2.9379758 3.5653438 4.3535880 5.0894547 5.7103533 6.1128879 3.2562051 4.3535880 5.365231 0.0339124 0.0223007 0.0132030 0.0055399 0.0104489 0.0348955 0.0329247 0.0038907
eta_slope[13,2] 1.8063947 0.0589230 22884 1.0002350 23144 20767 1 0.0003890 1.6520786 1.6817178 1.7300821 1.8101372 1.8789272 1.9127838 1.9299109 1.7052083 1.8101372 1.897811 0.0014214 0.0015906 0.0006709 0.0005233 0.0005554 0.0009308 0.0013439 0.0002751
eta_slope[35,2] 2.4805736 0.0738032 24114 1.0002224 24103 23534 1 0.0004752 2.2999133 2.3331368 2.3870439 2.4813928 2.5723826 2.6251178 2.6521286 2.3585698 2.4813928 2.598227 0.0027023 0.0013529 0.0008608 0.0004623 0.0007389 0.0012856 0.0011403 0.0003361
eta_slope[32,2] 2.0874467 0.3027466 23205 1.0001892 23215 22603 1 0.0019856 1.1997876 1.4167586 1.7238432 2.1057821 2.4372719 2.6433113 2.7842722 1.5731188 2.1057821 2.536455 0.0120548 0.0107790 0.0042243 0.0023204 0.0032590 0.0069218 0.0076560 0.0014041
eta_slope[1,2] 0.4692162 0.1559364 13741 1.0001828 13960 10756 1 0.0013289 0.1261204 0.1775029 0.2694732 0.4657391 0.6712352 0.7869386 0.8486548 0.2194966 0.4657391 0.732093 0.0041781 0.0022234 0.0019105 0.0014457 0.0032187 0.0057024 0.0080559 0.0009884
eta_slope[12,2] 2.6635210 0.0720574 24067 1.0001775 24065 23561 1 0.0004644 2.4867222 2.5194980 2.5726917 2.6648004 2.7554964 2.8005582 2.8262077 2.5439951 2.6648004 2.780353 0.0014188 0.0009440 0.0009413 0.0007367 0.0008110 0.0008921 0.0016220 0.0003284
eta_slope[31,2] 5.4435526 0.1145905 19453 1.0001636 19435 19069 1 0.0008215 5.1544485 5.2049407 5.3018334 5.4452143 5.5863616 5.6669367 5.7135168 5.2513824 5.4452143 5.629711 0.0024315 0.0023798 0.0016621 0.0010190 0.0009174 0.0018948 0.0022122 0.0005809
eta_slope[23,2] 1.5916714 0.1300654 17541 1.0001529 17297 13841 1 0.0009819 1.2543200 1.3161657 1.4268978 1.5951744 1.7528421 1.8319265 1.8787470 1.3714599 1.5951744 1.795873 0.0052737 0.0021348 0.0018551 0.0012157 0.0017799 0.0021791 0.0056831 0.0007008
eta_slope[30,2] 1.7385239 0.2647043 16112 1.0001337 16019 15212 1 0.0020817 1.0205565 1.1894847 1.4162496 1.7428160 2.0690313 2.2293550 2.3155305 1.3070711 1.7428160 2.158452 0.0136075 0.0085276 0.0035186 0.0020694 0.0037790 0.0042160 0.0066469 0.0014869
eta_slope[14,2] 1.8122125 0.0327129 21929 1.0001056 21981 21700 1 0.0002206 1.7335865 1.7473018 1.7706245 1.8120967 1.8539109 1.8765615 1.8884016 1.7582632 1.8120967 1.866164 0.0007328 0.0006340 0.0003045 0.0002918 0.0003770 0.0005472 0.0006202 0.0001560
eta_slope[17,2] 1.2744444 0.0369026 23390 1.0001026 23412 23762 1 0.0002413 1.1830925 1.2001357 1.2272270 1.2750426 1.3207489 1.3458015 1.3625028 1.2132498 1.2750426 1.333957 0.0011646 0.0006690 0.0004729 0.0002680 0.0003855 0.0006010 0.0010576 0.0001706
eta_slope[11,2] 1.4909776 0.1210910 16902 1.0000797 16646 16092 1 0.0009307 1.1705033 1.2517168 1.3494978 1.4910840 1.6331706 1.7309688 1.7996993 1.3045100 1.4910840 1.684433 0.0079073 0.0035239 0.0015886 0.0010908 0.0016369 0.0030774 0.0091530 0.0006632
eta_slope[28,2] 5.8726759 0.3091566 13886 1.0000710 13324 12992 1 0.0026237 4.9596061 5.1514666 5.4657062 5.9213975 6.2170810 6.3477521 6.4253858 5.2963454 5.9213975 6.289301 0.0130769 0.0123182 0.0074814 0.0032594 0.0034301 0.0045123 0.0108741 0.0018639
eta_slope[24,2] 8.3816440 0.5499503 10017 1.0000652 10318 5586 1 0.0054921 7.0748393 7.2727637 7.6679332 8.3996207 9.0651175 9.4305478 9.6446917 7.4458646 8.3996207 9.251584 0.0283808 0.0174364 0.0133391 0.0066995 0.0058179 0.0088826 0.0132163 0.0038836
eta_slope[37,2] 2.0100763 0.2603166 20792 1.0000578 20624 19734 1 0.0018035 1.3440462 1.4639019 1.6651225 2.0257317 2.3352403 2.4599335 2.5211641 1.5602113 2.0257317 2.403949 0.0118839 0.0066897 0.0043534 0.0021571 0.0026074 0.0039572 0.0027095 0.0012835
eta_slope[8,2] 4.1808710 0.2247264 17553 1.0000552 17406 16858 1 0.0016957 3.6789654 3.7599042 3.9049347 4.1760069 4.4610222 4.6492305 4.7561959 3.8306168 4.1760069 4.557445 0.0058716 0.0035837 0.0023858 0.0019564 0.0029338 0.0046505 0.0084166 0.0011991
eta_slope[29,2] 2.5073916 0.3238533 17338 1.0000398 18164 14761 1 0.0024597 1.6051058 1.7799550 2.1007140 2.5308501 2.8861758 3.0784731 3.1865576 1.9429226 2.5308501 2.986234 0.0240963 0.0097772 0.0048533 0.0027379 0.0027060 0.0074660 0.0056665 0.0017393
eta_slope[15,2] 2.5887772 0.1198212 21149 1.0000270 21309 19315 1 0.0008238 2.2830976 2.3411017 2.4367715 2.5913605 2.7369901 2.8115836 2.8608290 2.3845730 2.5913605 2.778952 0.0041958 0.0030054 0.0015128 0.0009912 0.0010972 0.0021059 0.0028966 0.0005825
eta_slope[7,2] 8.3679596 0.5078440 17398 1.0000178 17002 13849 1 0.0038478 7.2671294 7.4241992 7.7416926 8.3485746 9.0184851 9.4296603 9.6683761 7.5712529 8.3485746 9.227179 0.0111818 0.0082219 0.0066521 0.0046870 0.0066689 0.0116699 0.0257966 0.0027208
eta_slope[33,2] 1.3225978 0.0951310 21755 1.0000173 21852 20009 1 0.0006448 1.0773076 1.1291877 1.2028683 1.3257289 1.4397340 1.5037081 1.5418379 1.1635994 1.3257289 1.474124 0.0032251 0.0022431 0.0009471 0.0007252 0.0007679 0.0013962 0.0024538 0.0004560
eta_slope[10,2] 3.3172546 0.4773757 22135 1.0000077 21795 21783 1 0.0032070 1.8768728 2.2279308 2.7020315 3.3680412 3.8607652 4.0971859 4.2375735 2.4563080 3.3680412 3.991465 0.0155609 0.0127785 0.0076439 0.0042603 0.0044284 0.0064003 0.0103125 0.0022811
eta_slope[16,2] 11.2812387 0.1377000 21912 0.9999605 21889 21235 1 0.0009298 10.9597117 11.0179693 11.1072028 11.2797160 11.4573844 11.5605970 11.6155166 11.0607354 11.2797160 11.507246 0.0032869 0.0030536 0.0015781 0.0009717 0.0017797 0.0025775 0.0029364 0.0006575
eta_slope[18,2] 1.8525842 0.0536476 23368 0.9999569 23519 22921 1 0.0003509 1.7093608 1.7408384 1.7863429 1.8535774 1.9171020 1.9543463 1.9776284 1.7640349 1.8535774 1.936447 0.0016010 0.0013289 0.0006847 0.0004234 0.0005294 0.0009448 0.0017063 0.0002481
eta_slope[5,2] 2.0138148 0.0192909 23449 0.9998840 23524 22218 1 0.0001259 1.9658644 1.9749229 1.9891027 2.0142291 2.0384075 2.0509990 2.0571477 1.9818301 2.0142291 2.044826 0.0007134 0.0003864 0.0002261 0.0001524 0.0001885 0.0003406 0.0004217 0.0000890

\(\psi_{2}\)

rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
theta[17] 0.2209908 0.2206890 24870 1.0002270 24862 23917 1 0.0013997 -0.2941523 -0.2096733 -0.0604192 0.2221272 0.5058383 0.6526739 0.7353566 -0.1393106 0.2221272 0.5821739 0.0045330 0.0033709 0.0020974 0.0017749 0.0024126 0.0039885 0.0072815 0.0009932
theta[12] -0.0133110 0.2986268 25245 1.0001269 25256 24048 1 0.0018787 -0.7175994 -0.6024600 -0.3965399 -0.0103862 0.3685432 0.5653493 0.6704465 -0.5084494 -0.0103862 0.4685996 0.0053960 0.0056307 0.0030797 0.0026680 0.0036334 0.0053777 0.0094469 0.0013347
theta[13] 0.0023080 0.2891328 24195 1.0000959 24239 24122 1 0.0018569 -0.6847467 -0.5648165 -0.3679063 0.0036882 0.3691942 0.5608731 0.6714183 -0.4735627 0.0036882 0.4771919 0.0076397 0.0044837 0.0031117 0.0023685 0.0026809 0.0053211 0.0076463 0.0013131
theta[11] -0.0400058 0.2474461 25059 1.0000720 25080 24568 1 0.0015629 -0.6338470 -0.5329109 -0.3593520 -0.0358012 0.2743179 0.4359458 0.5250954 -0.4521566 -0.0358012 0.3594510 0.0065286 0.0042427 0.0027592 0.0017910 0.0026160 0.0038359 0.0057611 0.0011094
theta[7] 0.0649043 0.2828942 24452 1.0000715 24484 23844 1 0.0018081 -0.6067233 -0.4993649 -0.2974126 0.0666718 0.4242978 0.6171372 0.7129533 -0.4084856 0.0666718 0.5272740 0.0072479 0.0047695 0.0032545 0.0022414 0.0027988 0.0045970 0.0055153 0.0012785
theta[1] -0.4737472 0.3783494 23989 1.0000307 24006 24819 1 0.0024423 -1.3451340 -1.2151997 -0.9589797 -0.4735454 0.0142524 0.2633199 0.4000907 -1.0944767 -0.4735454 0.1503415 0.0076304 0.0065023 0.0038488 0.0037449 0.0040498 0.0057254 0.0086957 0.0017270
theta[2] -0.1280052 0.2033373 24967 1.0000242 24985 24531 1 0.0012866 -0.5994386 -0.5252399 -0.3862827 -0.1291104 0.1342566 0.2710553 0.3532545 -0.4601669 -0.1291104 0.2085915 0.0036898 0.0035106 0.0020603 0.0015481 0.0022698 0.0033208 0.0050551 0.0009098
theta[9] -0.2283447 0.2413975 25291 1.0000127 25291 24917 1 0.0015174 -0.8114608 -0.7144143 -0.5374335 -0.2257010 0.0766184 0.2352045 0.3211285 -0.6275615 -0.2257010 0.1642310 0.0048016 0.0044878 0.0024893 0.0019753 0.0021160 0.0032797 0.0057148 0.0010730
theta[10] -0.0635219 0.2007937 24758 1.0000117 24777 24606 1 0.0012752 -0.5346764 -0.4564424 -0.3191370 -0.0642421 0.1945847 0.3271513 0.4058314 -0.3912729 -0.0642421 0.2656786 0.0038392 0.0033834 0.0021699 0.0018989 0.0023217 0.0035140 0.0058536 0.0009069
theta[6] 0.1343808 0.2038863 23899 1.0000090 23931 24938 1 0.0013181 -0.3479643 -0.2743667 -0.1301327 0.1350909 0.3943555 0.5284648 0.6064682 -0.2043269 0.1350909 0.4670791 0.0049116 0.0035335 0.0023528 0.0017109 0.0021936 0.0024649 0.0056732 0.0009320
theta[4] -0.0527984 0.2599384 23896 1.0000019 23950 24565 1 0.0016799 -0.6690343 -0.5681641 -0.3873142 -0.0510992 0.2797445 0.4501453 0.5387088 -0.4851247 -0.0510992 0.3707804 0.0087639 0.0047961 0.0032758 0.0022968 0.0029600 0.0047147 0.0055884 0.0011879
theta[8] -0.1366509 0.2783589 24758 1.0000000 24750 25110 1 0.0017690 -0.8004123 -0.6915777 -0.4947361 -0.1334363 0.2186828 0.4040410 0.5090898 -0.5963295 -0.1334363 0.3152827 0.0068109 0.0049456 0.0030123 0.0022916 0.0025439 0.0044132 0.0083236 0.0012509
theta[14] 0.0464437 0.2607208 22978 0.9999919 23063 24834 1 0.0017131 -0.5710145 -0.4734263 -0.2909228 0.0480883 0.3787960 0.5524812 0.6450763 -0.3856002 0.0480883 0.4699670 0.0054963 0.0037141 0.0031496 0.0017483 0.0026666 0.0058000 0.0082021 0.0012113
theta[5] 0.2558113 0.2580308 24019 0.9999771 24142 24942 1 0.0016607 -0.3461854 -0.2512166 -0.0733040 0.2558377 0.5862515 0.7623382 0.8563020 -0.1669566 0.2558377 0.6796033 0.0047219 0.0046508 0.0025386 0.0023727 0.0030742 0.0050064 0.0064310 0.0011743
theta[16] 0.0178627 0.2159035 25055 0.9999722 25093 24370 1 0.0013632 -0.4893378 -0.4100225 -0.2609145 0.0192013 0.2948463 0.4343147 0.5073077 -0.3422306 0.0192013 0.3699710 0.0056180 0.0040943 0.0020725 0.0019384 0.0024432 0.0028720 0.0043791 0.0009852
theta[15] -0.2118838 0.2864801 24895 0.9999685 24980 24801 1 0.0018138 -0.9021514 -0.7878599 -0.5796570 -0.2082950 0.1502940 0.3383653 0.4390698 -0.6863414 -0.2082950 0.2500799 0.0082314 0.0062057 0.0032910 0.0023127 0.0030863 0.0050306 0.0059999 0.0012918
alpha -0.3609723 0.1077795 22948 0.9999667 23154 23544 1 0.0007096 -0.6229251 -0.5803479 -0.5007046 -0.3574088 -0.2252414 -0.1566361 -0.1263899 -0.5429353 -0.3574088 -0.1895099 0.0038274 0.0022910 0.0012856 0.0008986 0.0011198 0.0017288 0.0025246 0.0005045
hazard_gamma 0.7650079 0.1162478 24309 0.9999414 24345 25197 1 0.0007449 0.5137041 0.5521167 0.6188038 0.7607370 0.9172821 1.0037018 1.0532864 0.5829019 0.7607370 0.9641390 0.0022496 0.0016111 0.0011394 0.0010430 0.0012407 0.0028803 0.0034623 0.0005267
theta[18] -0.3198931 0.2267397 24717 0.9999402 24760 25029 1 0.0014406 -0.8563498 -0.7709747 -0.6087495 -0.3204970 -0.0294502 0.1166727 0.1992365 -0.6934751 -0.3204970 0.0515955 0.0062183 0.0036098 0.0024295 0.0016430 0.0019875 0.0035319 0.0067404 0.0010199
theta[3] -0.1886598 0.2162465 25229 0.9999395 25246 24945 1 0.0013608 -0.6875099 -0.6100891 -0.4638174 -0.1888279 0.0897718 0.2346636 0.3178650 -0.5427214 -0.1888279 0.1679675 0.0047202 0.0040872 0.0022212 0.0015955 0.0024821 0.0029549 0.0053020 0.0009732

Fix \(\phi_{2 \cap 3}\)

  • Again, issues with \(i = 34\) in that the model thinks it should be censored when it clearly shouldn’t

\(\phi_{1 \cap 2}\)

Event times \(T_{i}\)
rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
event_time[24] 6.205587 1.8086659 410 1.0128870 426 24995 1 0.0901928 2.2734202 2.6239797 3.329187 7.510231 7.510231 7.510231 7.510231 2.9090588 7.510231 7.510231 0.0372987 0.0222602 0.0460179 NA NA NA NA 0.0659139
event_time[28] 4.245647 0.7343786 234 1.0066411 1123 257 1 0.0478986 3.5631414 3.6534587 3.805271 4.107201 4.508786 7.588843 7.588843 3.7232058 4.107201 4.861328 0.0065993 0.0027807 0.0031928 0.0041851 0.0347869 NA NA 0.0354597
event_time[30] 1.854626 0.7225593 205 1.0063786 771 150 1 0.0512465 0.7186955 0.8881895 1.221837 1.764214 2.233218 4.694954 4.694954 1.0333220 1.764214 2.702276 0.0089955 0.0093239 0.0067637 0.0080434 0.0338669 NA NA 0.0406968
event_time[19] 4.549761 0.4471521 685 1.0041816 1465 351 1 0.0170252 2.8234497 2.9819527 4.252834 4.590333 4.820152 5.950880 5.950880 3.9413478 4.590333 4.936846 0.0172363 0.0158950 0.0063302 0.0022325 0.0130795 NA NA 0.0142143
event_time[16] 11.183664 0.0321855 1991 1.0041256 1503 24995 1 0.0007226 11.1861111 11.1861111 11.186111 11.186111 11.186111 11.186111 11.186111 11.1861111 11.186111 11.186111 NA NA NA NA NA NA NA 0.0005128
event_time[34] 10.244751 1.0342241 2306 1.0025188 2377 24995 1 0.0212129 0.4942563 10.3526157 10.352616 10.352616 10.352616 10.352616 10.352616 10.3526157 10.352616 10.352616 4.9671268 NA NA NA NA NA NA 0.0150016
event_time[29] 6.963689 0.8344949 4193 1.0014368 4302 24995 1 0.0128739 4.7804078 4.9018600 5.245612 7.362870 7.362870 7.362870 7.362870 5.0339815 7.362870 7.362870 0.0111117 0.0104321 0.0134892 NA NA NA NA 0.0091337
event_time[9] 6.330959 0.1901271 4460 1.0011285 4103 24995 1 0.0028466 5.4121714 5.5914234 6.378426 6.378426 6.378426 6.378426 6.378426 5.8074008 6.378426 6.378426 0.0102917 0.0146154 NA NA NA NA NA 0.0020226
event_time[32] 3.417339 0.1705657 6880 1.0010382 6974 24995 1 0.0020531 2.9810565 3.0773589 3.212120 3.401412 3.635891 3.635891 3.635891 3.1474299 3.401412 3.635891 0.0078632 0.0030226 0.0018182 0.0019816 NA NA NA 0.0014770
event_time[8] 5.163585 0.1726495 2857 1.0010160 2537 24995 1 0.0032305 4.6153527 4.6856863 4.854238 5.248611 5.248611 5.248611 5.248611 4.7587166 5.248611 5.248611 0.0033963 0.0047089 0.0075245 NA NA NA NA 0.0022991
event_time[13] 17.419977 1.8704716 10064 1.0009990 5896 24995 1 0.0186274 5.5317489 10.6699022 17.663806 17.785417 17.785417 17.785417 17.785417 16.8760862 17.785417 17.785417 0.0625722 1.5697519 0.0496781 NA NA NA NA 0.0136095
event_time[26] 1.691753 0.5594402 683 1.0009734 4979 2126 1 0.0213944 1.1292659 1.2267143 1.367696 1.604819 1.914781 3.042332 5.109140 1.2951133 1.604819 2.082348 0.0066644 0.0048941 0.0015673 0.0018251 0.0095910 0.6236973 0.6449763 0.0176465
event_time[4] 5.649544 0.3776624 10656 1.0008011 9279 24995 1 0.0036577 3.0081742 5.6999190 5.699919 5.699919 5.699919 5.699919 5.699919 5.6999190 5.699919 5.699919 0.0684729 NA NA NA NA NA NA 0.0026242
event_time[11] 5.779009 0.2356886 19159 1.0004663 16875 24995 1 0.0017022 5.2893742 5.7426126 5.803426 5.803426 5.803426 5.803426 5.803426 5.8034259 5.803426 5.803426 0.1527108 0.0068985 NA NA NA NA NA 0.0012036
event_time[36] 4.664048 0.5145461 2877 1.0004025 5738 1540 1 0.0095823 2.6216085 2.9810816 4.398074 4.767191 4.999373 5.126410 5.200792 3.6345137 4.767191 5.066633 0.0419073 0.0913360 0.0191587 0.0023307 0.0021475 0.0028154 0.0056922 0.0073350
event_time[5] 25.779028 0.9525772 13447 1.0003818 12366 24995 1 0.0082125 19.8539896 25.9132292 25.913229 25.913229 25.913229 25.913229 25.913229 25.9132292 25.913229 25.913229 0.2677803 NA NA NA NA NA NA 0.0058507
event_time[37] 8.686821 0.0461311 17994 1.0003353 14819 24995 1 0.0003434 8.5144539 8.6915278 8.691528 8.691528 8.691528 8.691528 8.691528 8.6915278 8.691528 8.691528 0.0182370 NA NA NA NA NA NA 0.0002438
event_time[18] 6.095543 0.0882280 20718 1.0002392 20421 24995 1 0.0006129 6.0977662 6.0977662 6.097766 6.097766 6.097766 6.097766 6.097766 6.0977662 6.097766 6.097766 NA NA NA NA NA NA NA 0.0004365
event_time[10] 3.443027 0.0042793 25005 1.0001998 25010 24995 1 0.0000271 3.4430556 3.4430556 3.443056 3.443056 3.443056 3.443056 3.443056 3.4430556 3.443056 3.443056 NA NA NA NA NA NA NA 0.0000191
event_time[6] 19.387580 0.6913097 19701 1.0001743 23919 23418 1 0.0049221 17.6923895 18.0771844 18.606994 19.419300 20.153880 20.549317 20.793145 18.3353518 19.419300 20.364963 0.0415439 0.0186729 0.0068680 0.0050297 0.0053922 0.0082898 0.0129364 0.0034805
event_time[33] 6.389306 0.3861814 12296 1.0001573 12670 24995 1 0.0034809 4.3234078 5.0868441 6.481875 6.481875 6.481875 6.481875 6.481875 5.7337667 6.481875 6.481875 0.0760898 0.0506610 NA NA NA NA NA 0.0024614
event_time[20] 3.126881 0.2460412 22266 1.0001241 22166 21177 1 0.0016486 2.5599045 2.6550830 2.830172 3.121289 3.437201 3.609258 3.709306 2.7390760 3.121289 3.531775 0.0086296 0.0059608 0.0020802 0.0019036 0.0033809 0.0050974 0.0077789 0.0011657
event_time[1] 4.788500 0.4831285 7637 1.0001022 21844 21013 1 0.0055263 3.7551046 3.9428838 4.252059 4.786821 5.297917 5.586532 5.803811 4.0889522 4.786821 5.450388 0.0132744 0.0100184 0.0038418 0.0030427 0.0036337 0.0130407 0.0137353 0.0052530
event_time[35] 7.881885 0.1008339 23758 1.0000993 21551 24995 1 0.0006541 7.8863194 7.8863194 7.886319 7.886319 7.886319 7.886319 7.886319 7.8863194 7.886319 7.886319 NA NA NA NA NA NA NA 0.0004689
event_time[12] 3.051500 0.5365336 22431 1.0000779 22552 22901 1 0.0035794 1.8902620 2.0652008 2.392352 3.027620 3.754077 4.165141 4.383327 2.2064874 3.027620 3.965591 0.0093334 0.0102603 0.0061245 0.0045678 0.0058898 0.0093075 0.0154342 0.0025384
event_time[15] 1.486593 0.1776774 20684 1.0000773 20655 18273 1 0.0012347 1.0402817 1.1192314 1.264447 1.491121 1.707503 1.826968 1.889794 1.1895255 1.491121 1.768183 0.0052550 0.0037748 0.0018247 0.0013430 0.0023059 0.0042196 0.0045703 0.0008801
event_time[27] 10.077274 0.8514167 21297 1.0000738 21690 21803 1 0.0058281 7.5179662 8.0309976 8.943770 10.204369 11.043138 11.365257 11.523637 8.4830552 10.204369 11.230420 0.0397055 0.0231998 0.0109585 0.0066818 0.0047941 0.0080905 0.0099266 0.0041212
event_time[23] 12.897748 0.1851038 14482 1.0000619 12728 24995 1 0.0015377 11.7388401 12.6176316 12.925694 12.925694 12.925694 12.925694 12.925694 12.9256944 12.925694 12.925694 0.0427228 0.0832385 NA NA NA NA NA 0.0010916
event_time[17] 8.790880 0.2095269 24413 1.0000326 24516 24012 1 0.0013410 8.2564822 8.3577878 8.530172 8.796220 9.040307 9.187493 9.294194 8.4392240 8.796220 9.113275 0.0072872 0.0042995 0.0025535 0.0013690 0.0020274 0.0041293 0.0068649 0.0009482
event_time[31] 1.339612 0.2473257 15631 1.0000061 21737 20146 1 0.0019739 0.8140542 0.9073408 1.069942 1.341380 1.593143 1.718980 1.785599 0.9824876 1.341380 1.657961 0.0047418 0.0044192 0.0032916 0.0017510 0.0020348 0.0044607 0.0040772 0.0016382
event_time[3] 10.051354 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 10.0513542 10.0513542 10.051354 10.051354 10.051354 10.051354 10.051354 10.0513542 10.051354 10.051354 NA NA NA NA NA NA NA NA
event_time[14] 13.309259 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 13.3092593 13.3092593 13.309259 13.309259 13.309259 13.309259 13.309259 13.3092593 13.309259 13.309259 NA NA NA NA NA NA NA NA
event_time[22] 3.679340 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 3.6793403 3.6793403 3.679340 3.679340 3.679340 3.679340 3.679340 3.6793403 3.679340 3.679340 NA NA NA NA NA NA NA NA
event_time[25] 5.115940 0.7152179 17839 0.9999994 19804 17153 1 0.0053457 3.6269731 3.8978909 4.338857 5.036791 5.981779 6.929902 7.312182 4.1162244 5.036791 6.464633 0.0241978 0.0146557 0.0064350 0.0045175 0.0153167 0.0359732 0.0447875 0.0039235
event_time[21] 4.234504 0.0014656 25005 0.9999778 25012 24995 1 0.0000093 4.2345139 4.2345139 4.234514 4.234514 4.234514 4.234514 4.234514 4.2345139 4.234514 4.234514 NA NA NA NA NA NA NA 0.0000066
event_time[2] 4.413351 0.0288634 25022 0.9999635 25026 24995 1 0.0001825 4.4138889 4.4138889 4.413889 4.413889 4.413889 4.413889 4.413889 4.4138889 4.413889 4.413889 NA NA NA NA NA NA NA 0.0001290
event_time[7] 3.642436 0.2730374 24159 0.9999529 24173 23738 1 0.0017564 3.0024301 3.1139218 3.312873 3.633748 3.982457 4.192513 4.367712 3.2129514 3.633748 4.091934 0.0058094 0.0045100 0.0024296 0.0019802 0.0038661 0.0062032 0.0108808 0.0012435
Event indicators \(d_{i}\)
rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
event_indicator[28] 0.9617123 0.1918937 192 1.0342987 193 24995 1 0.0138064 0 0 1 1 1 1 1 1 1 1 0 0.5 NA NA NA NA NA 0.0097773
event_indicator[30] 0.9553511 0.2065360 144 1.0325555 141 24995 1 0.0174145 0 0 1 1 1 1 1 1 1 1 0 0.5 NA NA NA NA NA 0.0123395
event_indicator[19] 0.9710342 0.1677137 199 1.0315617 205 24995 1 0.0117232 0 0 1 1 1 1 1 1 1 1 0 0.5 NA NA NA NA NA 0.0083014
event_indicator[26] 0.9962392 0.0612108 266 1.0191513 266 24995 1 0.0037500 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA 0.0026546
event_indicator[24] 0.3736347 0.4837780 358 1.0152238 345 24995 1 0.0260628 0 0 0 0 1 1 1 0 0 1 0 0.0 0 0 NA NA NA 0.0184448
event_indicator[16] 0.0074415 0.0859442 1479 1.0040873 1472 1472 1 0.0022401 0 0 0 0 0 0 0 0 0 0 0 0.0 0 0 0 0 0.0 0.0015843
event_indicator[34] 0.0107622 0.1031831 2309 1.0025322 2380 2380 1 0.0021152 0 0 0 0 0 0 1 0 0 0 0 0.0 0 0 0 0 NA 0.0014958
event_indicator[32] 0.7508302 0.4325410 4215 1.0017907 4228 24995 1 0.0066518 0 0 0 1 1 1 1 0 1 1 0 0.0 0 NA NA NA NA 0.0047038
event_indicator[29] 0.1938388 0.3953120 4064 1.0014117 4072 24995 1 0.0061953 0 0 0 0 1 1 1 0 0 1 0 0.0 0 0 NA NA NA 0.0043810
event_indicator[8] 0.2374875 0.4255519 2302 1.0010840 2296 24995 1 0.0088814 0 0 0 0 1 1 1 0 0 1 0 0.0 0 0 NA NA NA 0.0062809
event_indicator[13] 0.1081816 0.3106159 5854 1.0010537 5860 24995 1 0.0040575 0 0 0 0 1 1 1 0 0 1 0 0.0 0 0 NA NA NA 0.0028692
event_indicator[9] 0.0679336 0.2516369 3992 1.0010512 3993 24995 1 0.0039824 0 0 0 0 0 1 1 0 0 1 0 0.0 0 0 0 NA NA 0.0028162
event_indicator[4] 0.0215243 0.1451270 9028 1.0007949 9029 9029 1 0.0015273 0 0 0 0 0 0 1 0 0 0 0 0.0 0 0 0 0 NA 0.0010800
event_indicator[11] 0.0381676 0.1916046 16773 1.0005133 16787 16787 1 0.0014789 0 0 0 0 0 1 1 0 0 0 0 0.0 0 0 0 NA NA 0.0010457
event_indicator[37] 0.0197239 0.1390528 14524 1.0003974 14540 14540 1 0.0011532 0 0 0 0 0 0 1 0 0 0 0 0.0 0 0 0 0 NA 0.0008154
event_indicator[5] 0.0226845 0.1488987 12206 1.0003756 12208 12208 1 0.0013476 0 0 0 0 0 0 1 0 0 0 0 0.0 0 0 0 0 NA 0.0009529
event_indicator[18] 0.0006401 0.0252932 20019 1.0002227 20020 20020 1 0.0001788 0 0 0 0 0 0 0 0 0 0 0 0.0 0 0 0 0 0.0 0.0001264
event_indicator[10] 0.0000800 0.0089450 25005 1.0002002 25010 25010 1 0.0000566 0 0 0 0 0 0 0 0 0 0 0 0.0 0 0 0 0 0.0 0.0000400
event_indicator[35] 0.0096019 0.0975198 21497 1.0001067 21519 21519 1 0.0006648 0 0 0 0 0 0 0 0 0 0 0 0.0 0 0 0 0 0.5 0.0004701
event_indicator[33] 0.0848170 0.2786147 13353 1.0000766 13367 24995 1 0.0024099 0 0 0 0 0 1 1 0 0 1 0 0.0 0 0 0 NA NA 0.0017041
event_indicator[23] 0.0312462 0.1739860 12653 1.0000570 12656 12656 1 0.0015466 0 0 0 0 0 1 1 0 0 0 0 0.0 0 0 0 NA NA 0.0010936
event_indicator[1] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[3] 0.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 0 0 0 0 0 0 0 0 0 0 NA NA NA NA NA NA NA NA
event_indicator[6] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[7] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[12] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[14] 0.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 0 0 0 0 0 0 0 0 0 0 NA NA NA NA NA NA NA NA
event_indicator[15] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[17] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[20] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[22] 0.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 0 0 0 0 0 0 0 0 0 0 NA NA NA NA NA NA NA NA
event_indicator[25] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[27] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[31] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[36] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[21] 0.0000800 0.0089450 25008 0.9999778 25012 25012 1 0.0000566 0 0 0 0 0 0 0 0 0 0 0 0.0 0 0 0 0 0.0 0.0000400
event_indicator[2] 0.0003601 0.0189725 25022 0.9999704 25026 25026 1 0.0001199 0 0 0 0 0 0 0 0 0 0 0 0.0 0 0 0 0 0.0 0.0000848

\(\psi_{2}\)

rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
theta[12] -0.0921578 0.3273121 11469 1.0009186 12067 18513 1 0.0030072 -0.8845626 -0.7472283 -0.5110377 -0.0867039 0.3234155 0.5333877 0.6492593 -0.6395500 -0.0867039 0.4347592 0.0087624 0.0058498 0.0042135 0.0029404 0.0031680 0.0054696 0.0062748 0.0021264
theta[14] -0.0006270 0.2823716 7734 1.0007938 7788 19804 1 0.0031884 -0.6657029 -0.5610017 -0.3644727 0.0010331 0.3605683 0.5433226 0.6479840 -0.4681225 0.0010331 0.4566261 0.0098425 0.0051714 0.0033421 0.0036994 0.0032571 0.0061625 0.0087853 0.0022546
alpha -0.5448153 0.1360470 5501 1.0007914 5549 15345 1 0.0018455 -0.8896621 -0.8269304 -0.7203101 -0.5392928 -0.3739298 -0.2915130 -0.2503630 -0.7742104 -0.5392928 -0.3298468 0.0043046 0.0034924 0.0021864 0.0018866 0.0018856 0.0018138 0.0027964 0.0013204
theta[15] -0.1331854 0.3098300 8728 1.0007491 8743 21903 1 0.0033077 -0.8718169 -0.7584699 -0.5365574 -0.1269672 0.2590808 0.4539490 0.5582989 -0.6495726 -0.1269672 0.3666816 0.0088269 0.0056342 0.0038186 0.0036401 0.0037508 0.0057476 0.0041488 0.0023389
theta[10] 0.0646045 0.2187563 17102 1.0004099 17227 22266 1 0.0016682 -0.4522815 -0.3650946 -0.2134196 0.0657518 0.3412423 0.4929032 0.5831068 -0.2933294 0.0657518 0.4198545 0.0069938 0.0042874 0.0023925 0.0020016 0.0026798 0.0039135 0.0062772 0.0011796
theta[18] -0.5944725 0.2603797 9165 1.0003993 9328 22060 1 0.0026970 -1.2207662 -1.1207867 -0.9285012 -0.5896053 -0.2631426 -0.0945519 -0.0021546 -1.0259218 -0.5896053 -0.1753878 0.0099520 0.0050544 0.0035226 0.0028406 0.0027263 0.0041088 0.0049066 0.0019072
theta[7] -0.0206920 0.2994904 13041 1.0003546 13612 20774 1 0.0026025 -0.7463693 -0.6218710 -0.4061653 -0.0155853 0.3570714 0.5518785 0.6565181 -0.5213024 -0.0155853 0.4649621 0.0062107 0.0068298 0.0029572 0.0025110 0.0033996 0.0044395 0.0069203 0.0018403
theta[4] -0.1990674 0.2913552 19076 1.0003470 19449 24087 1 0.0020904 -0.9087047 -0.7833907 -0.5757760 -0.1948124 0.1681969 0.3572547 0.4564832 -0.6869343 -0.1948124 0.2702687 0.0086558 0.0057295 0.0034882 0.0024380 0.0029773 0.0043317 0.0067049 0.0014782
theta[5] 0.1410399 0.2727906 16102 1.0003463 16042 23905 1 0.0021521 -0.4949909 -0.3934871 -0.2079249 0.1419432 0.4888988 0.6697734 0.7705699 -0.3090345 0.1419432 0.5900241 0.0091771 0.0047855 0.0032072 0.0024497 0.0029496 0.0052168 0.0081383 0.0015218
theta[8] -0.0723936 0.2833836 23403 1.0003201 23420 24773 1 0.0018518 -0.7384489 -0.6301093 -0.4363430 -0.0733274 0.2878126 0.4876721 0.5841707 -0.5428961 -0.0733274 0.3949676 0.0073019 0.0042319 0.0028502 0.0024613 0.0025835 0.0047042 0.0052054 0.0013094
theta[13] -0.1143474 0.3250838 16739 1.0002679 16690 22008 1 0.0025106 -0.9105376 -0.7786667 -0.5326118 -0.1089868 0.2965979 0.4984158 0.6090549 -0.6625793 -0.1089868 0.4067003 0.0070732 0.0067471 0.0044883 0.0027724 0.0035323 0.0048876 0.0074628 0.0017753
theta[6] 0.1954197 0.2281703 14608 1.0002432 14611 23807 1 0.0018890 -0.3440752 -0.2569953 -0.0959168 0.1974936 0.4865370 0.6401440 0.7221123 -0.1819883 0.1974936 0.5655286 0.0065869 0.0039256 0.0024648 0.0020049 0.0024487 0.0045067 0.0051542 0.0013357
theta[9] -0.3142485 0.2657163 19200 1.0002081 19325 22695 1 0.0019128 -0.9471460 -0.8422483 -0.6571560 -0.3105162 0.0254830 0.1916843 0.2765598 -0.7586854 -0.3105162 0.1169325 0.0051526 0.0046795 0.0033688 0.0022373 0.0026256 0.0047250 0.0043032 0.0013526
theta[2] -0.1616516 0.2252764 15158 1.0001811 15322 22889 1 0.0018184 -0.6828224 -0.6001757 -0.4502659 -0.1601252 0.1245487 0.2826219 0.3689005 -0.5321640 -0.1601252 0.2085140 0.0066571 0.0034481 0.0024066 0.0020603 0.0021797 0.0041078 0.0042278 0.0012858
theta[17] 0.0338962 0.2402676 13985 1.0001663 14009 22051 1 0.0020316 -0.5279908 -0.4419746 -0.2713967 0.0362411 0.3405839 0.4993370 0.5828691 -0.3684493 0.0362411 0.4233361 0.0061929 0.0036422 0.0034288 0.0022933 0.0030799 0.0045231 0.0055177 0.0014366
theta[1] -0.1740639 0.4045364 16790 1.0001405 16879 22479 1 0.0031151 -1.1070831 -0.9664176 -0.6896107 -0.1735488 0.3443474 0.6259781 0.7861064 -0.8401977 -0.1735488 0.4920085 0.0097915 0.0076197 0.0051039 0.0034214 0.0055386 0.0078141 0.0126648 0.0022028
hazard_gamma 0.6866967 0.1221087 18781 1.0001019 18814 23257 1 0.0008882 0.4287262 0.4637630 0.5340119 0.6809459 0.8467469 0.9412372 0.9965715 0.4963640 0.6809459 0.8970063 0.0023647 0.0014892 0.0012532 0.0010485 0.0014902 0.0025354 0.0040351 0.0006281
theta[16] 0.0345104 0.2377251 10672 1.0000620 10841 21034 1 0.0022845 -0.5176234 -0.4330329 -0.2725649 0.0359875 0.3395176 0.4961205 0.5859296 -0.3591964 0.0359875 0.4224585 0.0052708 0.0043453 0.0032601 0.0022255 0.0028002 0.0038522 0.0059059 0.0016155
theta[11] -0.1600905 0.2638249 11858 1.0000361 12015 22905 1 0.0024109 -0.7997263 -0.6954169 -0.5001765 -0.1534364 0.1720460 0.3425008 0.4272502 -0.6059449 -0.1534364 0.2633696 0.0078613 0.0052323 0.0027158 0.0025778 0.0027796 0.0043673 0.0070634 0.0017048
theta[3] -0.2985334 0.2347710 20693 0.9999883 20892 22471 1 0.0016248 -0.8450542 -0.7607788 -0.5964862 -0.2996445 0.0027556 0.1666594 0.2476683 -0.6844520 -0.2996445 0.0882229 0.0060657 0.0034446 0.0030744 0.0021118 0.0030208 0.0039773 0.0047775 0.0011489

Log

  • Currently, Log pooling with either one of \(\phi_{1 \cap 2}\) or \(\phi_{2 \cap 3}\) fixed is assuming that, e.g. for \(\phi_{1 \cap 2}\) fixed to subposterior median value \(\tilde{\phi}_{1 \cap 2}\) \(\text{p}_{2}(\phi_{1 \cap 2} = \tilde{\phi}_{1 \cap 2}, \phi_{2 \cap 3}) = k \text{p}_{2}(\phi_{2 \cap 3}\) for some constant \(k\) that does not depend on \(\tidle{\phi}_{1 \cap 2}\).
    • This seems like an independence assumption in disguise? Doing the fixed variants ‘properly’ involves estimating \(\text{p}_{2}(\phi_{1 \cap 2})\) and \(\text{p}_{2}(\phi_{2 \cap 3})\) (so might as well do linear pooling as well if so).

None (full melding)

  • Serious wobbles in all parameters here
    • This was because \(\lambda = (\frac{1}{3}, \frac{1}{3}, \frac{1}{3})\) is not ‘enough’ of a prior.
  • With \(\lambda = (\frac{9}{10}, \frac{9}{10}, \frac{9}{10})\), the results are (unsurprisingly) very similar to the PoE results (and the MCMC diagnostics are good),
  • Let’s try with \(\lambda = (\frac{1}{2}, \frac{1}{2}, \frac{1}{2})\) to see if it is sufficient in terms of prior (no, not at all)
  • \(\lambda = (\frac{2}{3}, \frac{2}{3}, \frac{2}{3})\) is also not sufficient
  • \(\lambda = (\frac{3}{4}, \frac{3}{4}, \frac{3}{4})\) is also not sufficient
  • \(\lambda = (0.825, 0.825, 0.825)\) works
  • \(\lambda = (0.8, 0.8, 0.8)\) works, not much point testing values in between here and 0.75

\(\phi_{1 \cap 2}\)

Event times \(T_{i}\)
rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
event_time[24] 5.999343 1.8354713 405 1.0118216 454 24995 1 0.0898570 2.2838369 2.6094584 3.264871 7.510231 7.510231 7.510231 7.510231 2.8716784 7.510231 7.510231 0.0236840 0.0255970 0.0410923 NA NA NA NA 0.0655581
event_time[1] 4.920513 1.1720831 87 1.0063096 1017 295 1 0.1247400 3.7658538 3.9383343 4.260204 4.807074 5.338491 5.750075 14.241667 4.0969528 4.807074 5.518953 0.0092711 0.0070227 0.0050521 0.0046241 0.0292144 0.2503985 NA 0.0932188
event_time[28] 4.235998 0.7123541 215 1.0035400 1112 248 1 0.0496447 3.5620124 3.6564262 3.811288 4.100883 4.480701 7.588843 7.588843 3.7255563 4.100883 4.861760 0.0049381 0.0047932 0.0024271 0.0032826 0.0322527 NA NA 0.0365339
event_time[34] 10.190283 1.2650046 1776 1.0032891 1832 24995 1 0.0300943 0.3669573 10.3526157 10.352616 10.352616 10.352616 10.352616 10.352616 10.3526157 10.352616 10.352616 0.0372527 NA NA NA NA NA NA 0.0213015
event_time[19] 4.579524 0.4305422 998 1.0025796 2216 565 1 0.0136158 2.8607999 3.3979916 4.284951 4.595906 4.828074 5.950880 5.950880 4.0885168 4.595906 4.996920 0.0171548 0.1184403 0.0058865 0.0023874 0.0124940 NA NA 0.0108909
event_time[26] 1.714150 0.6083150 587 1.0018043 3903 1364 1 0.0260210 1.1532897 1.2381872 1.377970 1.611337 1.930387 3.618388 5.250889 1.3094034 1.611337 2.135364 0.0103728 0.0036472 0.0021751 0.0017032 0.0099974 0.7603201 0.9981131 0.0239567
event_time[8] 5.127645 0.1964121 2967 1.0015680 2731 24995 1 0.0036029 4.5874746 4.6585561 4.795316 5.248611 5.248611 5.248611 5.248611 4.7161498 5.248611 5.248611 0.0049320 0.0042213 0.0043979 NA NA NA NA 0.0025653
event_time[29] 6.590218 1.0313275 4308 1.0009451 4731 24995 1 0.0156925 4.6921573 4.7966940 5.037071 7.362870 7.362870 7.362870 7.362870 4.9043279 7.362870 7.362870 0.0073901 0.0072297 0.0065397 NA NA NA NA 0.0111354
event_time[16] 11.182220 0.0420373 4271 1.0008544 3566 24995 1 0.0006407 11.0624847 11.1861111 11.186111 11.186111 11.186111 11.186111 11.186111 11.1861111 11.186111 11.186111 0.0991871 NA NA NA NA NA NA 0.0004544
event_time[13] 17.528152 1.5267442 11238 1.0006827 6184 24995 1 0.0143706 6.0064024 16.2902875 17.751167 17.785417 17.785417 17.785417 17.785417 17.1267053 17.785417 17.785417 0.0984898 0.1254980 0.0376825 NA NA NA NA 0.0105682
event_time[4] 5.608978 0.5103793 10819 1.0006546 10068 24995 1 0.0049049 2.6248503 3.3393970 5.699919 5.699919 5.699919 5.699919 5.699919 5.6999190 5.699919 5.699919 0.0356182 0.0991776 NA NA NA NA NA 0.0034829
event_time[30] 1.752390 0.3742506 2435 1.0005477 4239 2279 1 0.0075648 0.8157407 0.9772004 1.313236 1.775472 2.111278 2.326977 2.507384 1.1302217 1.775472 2.232044 0.0133447 0.0088198 0.0061417 0.0047821 0.0081388 0.0236248 0.0810304 0.0070269
event_time[36] 4.680678 0.4394518 2380 1.0004173 5485 1854 1 0.0090110 2.6761499 3.1601195 4.382483 4.770855 4.998546 5.130012 5.201000 4.0174013 4.770855 5.069163 0.0788547 0.1593782 0.0173528 0.0021334 0.0029000 0.0029621 0.0068245 0.0063725
event_time[9] 6.310232 0.2249384 4303 1.0003956 3880 24995 1 0.0034266 5.3690849 5.5227488 6.378426 6.378426 6.378426 6.378426 6.378426 5.6797066 6.378426 6.378426 0.0122585 0.0103553 NA NA NA NA NA 0.0024407
event_time[33] 6.352437 0.4540570 12160 1.0002887 12802 24995 1 0.0041093 4.0152276 4.7995912 6.194841 6.481875 6.481875 6.481875 6.481875 5.4100787 6.481875 6.481875 0.0709439 0.0420092 0.0481834 NA NA NA NA 0.0029058
event_time[25] 5.180204 0.7723270 10238 1.0002526 13412 7385 1 0.0076261 3.6564544 3.9368170 4.374697 5.066859 6.134323 7.248697 7.631304 4.1376085 5.066859 6.757048 0.0211473 0.0110754 0.0071625 0.0056676 0.0248598 0.0504956 0.0528502 0.0058212
event_time[31] 1.353776 0.2876775 9877 1.0002407 19039 15726 1 0.0028928 0.8382555 0.9171724 1.082039 1.355341 1.599983 1.730985 1.801673 0.9933477 1.355341 1.665010 0.0056250 0.0032886 0.0027603 0.0017665 0.0023706 0.0050760 0.0047112 0.0024513
event_time[17] 8.789558 0.2096635 23186 1.0002094 23243 23475 1 0.0013760 8.2501294 8.3565910 8.527258 8.796193 9.040822 9.185130 9.280340 8.4388479 8.796193 9.116199 0.0075395 0.0043729 0.0023803 0.0014360 0.0019471 0.0041566 0.0068398 0.0009730
event_time[23] 12.867372 0.2644451 14726 1.0001952 12966 24995 1 0.0021779 11.4227826 11.8451749 12.925694 12.925694 12.925694 12.925694 12.925694 12.5500386 12.925694 12.925694 0.0223127 0.0250255 NA NA NA NA NA 0.0015447
event_time[5] 25.704856 1.1513958 12345 1.0001842 11935 24995 1 0.0103588 19.0112476 21.3507253 25.913229 25.913229 25.913229 25.913229 25.913229 25.9132292 25.913229 25.913229 0.1342937 0.1770696 NA NA NA NA NA 0.0073558
event_time[27] 10.117284 0.8332964 21701 1.0001608 21547 20779 1 0.0056408 7.6248269 8.1490055 8.997530 10.243414 11.058568 11.395116 11.573543 8.5778546 10.243414 11.247778 0.0310607 0.0314906 0.0117660 0.0072765 0.0066871 0.0114621 0.0111234 0.0039887
event_time[35] 7.878721 0.1282369 23729 1.0000777 21774 24995 1 0.0008323 7.7660355 7.8863194 7.886319 7.886319 7.886319 7.886319 7.886319 7.8863194 7.886319 7.886319 0.0233000 NA NA NA NA NA NA 0.0005982
event_time[20] 3.136784 0.2654878 14809 1.0000706 20794 18941 1 0.0021800 2.5768054 2.6774960 2.838568 3.129179 3.443415 3.623729 3.734741 2.7526578 3.129179 3.539021 0.0059635 0.0031167 0.0017793 0.0020602 0.0029300 0.0054640 0.0115253 0.0018485
event_time[32] 3.410600 0.1691796 8116 1.0000386 8297 24995 1 0.0018759 2.9769333 3.0744892 3.209232 3.395536 3.635891 3.635891 3.635891 3.1452670 3.395536 3.635891 0.0062028 0.0036048 0.0020158 0.0019237 NA NA NA 0.0013469
event_time[15] 1.493507 0.1784077 19347 1.0000342 19353 16107 1 0.0012822 1.0377704 1.1292163 1.273297 1.496203 1.716576 1.839903 1.919606 1.2015259 1.496203 1.780610 0.0053484 0.0049605 0.0016852 0.0012676 0.0021108 0.0025095 0.0050546 0.0009201
event_time[2] 4.413112 0.0341700 25030 1.0000112 23439 24995 1 0.0002160 4.4138889 4.4138889 4.413889 4.413889 4.413889 4.413889 4.413889 4.4138889 4.413889 4.413889 NA NA NA NA NA NA NA 0.0001527
event_time[3] 10.051354 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 10.0513542 10.0513542 10.051354 10.051354 10.051354 10.051354 10.051354 10.0513542 10.051354 10.051354 NA NA NA NA NA NA NA NA
event_time[14] 13.309259 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 13.3092593 13.3092593 13.309259 13.309259 13.309259 13.309259 13.309259 13.3092593 13.309259 13.309259 NA NA NA NA NA NA NA NA
event_time[22] 3.679340 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 3.6793403 3.6793403 3.679340 3.679340 3.679340 3.679340 3.679340 3.6793403 3.679340 3.679340 NA NA NA NA NA NA NA NA
event_time[12] 3.080048 0.5322415 20384 0.9999974 20561 20573 1 0.0037263 1.9275566 2.1045504 2.424063 3.053418 3.766404 4.177086 4.400383 2.2494032 3.053418 3.987663 0.0125550 0.0077306 0.0051863 0.0041193 0.0070253 0.0078525 0.0180658 0.0026520
event_time[11] 5.794119 0.1359116 21410 0.9999939 15624 24995 1 0.0009282 5.7274085 5.8034259 5.803426 5.803426 5.803426 5.803426 5.803426 5.8034259 5.803426 5.803426 0.0135757 NA NA NA NA NA NA 0.0006627
event_time[6] 19.398037 0.6819027 22328 0.9999881 23700 23644 1 0.0045632 17.7525784 18.0907704 18.613131 19.424206 20.163011 20.551975 20.809348 18.3310332 19.424206 20.372967 0.0301907 0.0127989 0.0099905 0.0044788 0.0053603 0.0081113 0.0142896 0.0032267
event_time[7] 3.644611 0.2679650 22224 0.9999795 22310 22324 1 0.0017963 2.9985279 3.1175049 3.319969 3.639641 3.971277 4.186685 4.351349 3.2195851 3.639641 4.081327 0.0066499 0.0058075 0.0027340 0.0018785 0.0031842 0.0061748 0.0098563 0.0012721
event_time[21] 4.234510 0.0004274 25006 0.9999778 25012 24995 1 0.0000027 4.2345139 4.2345139 4.234514 4.234514 4.234514 4.234514 4.234514 4.2345139 4.234514 4.234514 NA NA NA NA NA NA NA 0.0000019
event_time[18] 6.096476 0.0720488 25020 0.9999663 25028 24995 1 0.0004554 6.0977662 6.0977662 6.097766 6.097766 6.097766 6.097766 6.097766 6.0977662 6.097766 6.097766 NA NA NA NA NA NA NA 0.0003221
event_time[10] 3.442998 0.0037110 24167 0.9999383 21347 24995 1 0.0000239 3.4430556 3.4430556 3.443056 3.443056 3.443056 3.443056 3.443056 3.4430556 3.443056 3.443056 NA NA NA NA NA NA NA 0.0000169
event_time[37] 8.687239 0.0410778 20186 0.9999055 16701 24995 1 0.0002890 8.5245027 8.6915278 8.691528 8.691528 8.691528 8.691528 8.691528 8.6915278 8.691528 8.691528 0.0129908 NA NA NA NA NA NA 0.0002048
Event indicators \(d_{i}\)
rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
event_indicator[1] 0.9865573 0.1151630 75 1.0746523 76 24995 1 0.0132296 0 1 1 1 1 1 1 1 1 1 0.5 NA NA NA NA NA NA 0.0093910
event_indicator[26] 0.9953591 0.0679675 223 1.0229121 117 24995 1 0.0062715 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA 0.0044457
event_indicator[28] 0.9638328 0.1867098 177 1.0217846 170 24995 1 0.0143088 0 0 1 1 1 1 1 1 1 1 0.0 0.5 NA NA NA NA NA 0.0101352
event_indicator[19] 0.9619524 0.1913151 429 1.0158034 429 24995 1 0.0092345 0 0 1 1 1 1 1 1 1 1 0.0 0.0 NA NA NA NA NA 0.0065342
event_indicator[24] 0.4406081 0.4964700 355 1.0152567 364 24995 1 0.0260098 0 0 0 0 1 1 1 0 0 1 0.0 0.0 0 0 NA NA NA 0.0184065
event_indicator[30] 0.9963193 0.0605585 864 1.0042671 864 24995 1 0.0020600 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA 0.0014571
event_indicator[34] 0.0162032 0.1262590 1773 1.0034434 1764 1764 1 0.0030064 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0 0 0.0 0 NA 0.0021262
event_indicator[8] 0.3325065 0.4711208 2364 1.0017607 2369 24995 1 0.0096798 0 0 0 0 1 1 1 0 0 1 0.0 0.0 0 0 NA NA NA 0.0068455
event_indicator[29] 0.3732747 0.4836838 4225 1.0011633 4232 24995 1 0.0074347 0 0 0 0 1 1 1 0 0 1 0.0 0.0 0 0 NA NA NA 0.0052575
event_indicator[16] 0.0113223 0.1058042 3541 1.0008981 3555 3555 1 0.0017746 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0 0 0.0 0 NA 0.0012549
event_indicator[13] 0.1034607 0.3045657 6010 1.0007056 6014 24995 1 0.0039273 0 0 0 0 1 1 1 0 0 1 0.0 0.0 0 0 NA NA NA 0.0027771
event_indicator[4] 0.0385677 0.1925662 10038 1.0006369 10040 10040 1 0.0019218 0 0 0 0 0 1 1 0 0 0 0.0 0.0 0 0 0.0 NA NA 0.0013590
event_indicator[9] 0.0992198 0.2989629 3697 1.0004743 3702 24995 1 0.0049134 0 0 0 0 0 1 1 0 0 1 0.0 0.0 0 0 0.5 NA NA 0.0034745
event_indicator[33] 0.1185837 0.3233045 13485 1.0002910 13527 24995 1 0.0027798 0 0 0 0 1 1 1 0 0 1 0.0 0.0 0 0 NA NA NA 0.0019656
event_indicator[23] 0.0650130 0.2465537 12770 1.0001758 12785 24995 1 0.0021805 0 0 0 0 0 1 1 0 0 1 0.0 0.0 0 0 0.0 NA NA 0.0015419
event_indicator[5] 0.0364073 0.1873051 12074 1.0001702 12090 12090 1 0.0017035 0 0 0 0 0 1 1 0 0 0 0.0 0.0 0 0 0.0 NA NA 0.0012046
event_indicator[32] 0.7723545 0.4193210 4988 1.0001075 4993 24995 1 0.0059343 0 0 0 1 1 1 1 0 1 1 0.0 0.0 0 NA NA NA NA 0.0041964
event_indicator[35] 0.0161632 0.1261056 21895 1.0000686 21927 21927 1 0.0008516 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0 0 0.0 0 NA 0.0006022
event_indicator[2] 0.0010002 0.0316108 23193 1.0000180 23196 23196 1 0.0002076 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0 0 0.0 0 0 0.0001468
event_indicator[11] 0.0165233 0.1274792 15625 1.0000014 15634 15634 1 0.0010195 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0 0 0.0 0 NA 0.0007209
event_indicator[3] 0.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 0 0 0 0 0 0 0 0 0 0 NA NA NA NA NA NA NA NA
event_indicator[6] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[7] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[12] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[14] 0.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 0 0 0 0 0 0 0 0 0 0 NA NA NA NA NA NA NA NA
event_indicator[15] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[17] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[20] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[22] 0.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 0 0 0 0 0 0 0 0 0 0 NA NA NA NA NA NA NA NA
event_indicator[25] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[27] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[31] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[36] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[18] 0.0004001 0.0199984 25022 0.9999778 25028 25028 1 0.0001264 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0 0 0.0 0 0 0.0000894
event_indicator[21] 0.0000800 0.0089450 25008 0.9999778 25012 25012 1 0.0000566 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0 0 0.0 0 0 0.0000400
event_indicator[10] 0.0004401 0.0209741 21170 0.9999394 21173 21173 1 0.0001441 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0 0 0.0 0 0 0.0001019
event_indicator[37] 0.0189238 0.1362586 16472 0.9999092 16480 16480 1 0.0010614 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0 0 0.0 0 NA 0.0007505

\(\phi_{2 \cap 3}\)

Breakpoint \(\kappa\)
rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
breakpoint[20] 2.786293 1.9854909 1855 1.0021307 2312 2308 1 0.0461259 0.7418012 0.8206422 1.0682550 2.140805 5.807701 8.648383 9.474086 0.9166433 2.140805 7.258138 0.0047855 0.0062340 0.0101878 0.0312220 0.2835632 0.1596692 0.0986841 0.0326211
breakpoint[2] 1.135528 0.2382819 5759 1.0019198 7077 4928 1 0.0031334 0.7552674 0.7947237 0.8923241 1.089643 1.427581 1.720355 1.956187 0.8404450 1.089643 1.592388 0.0025325 0.0019771 0.0016259 0.0025178 0.0099720 0.0201229 0.0422357 0.0023000
breakpoint[36] 3.654975 0.4255920 9917 1.0007014 9628 8827 1 0.0042662 2.4170664 2.6149990 3.0426205 3.726302 4.116326 4.286188 4.405112 2.7918776 3.726302 4.204874 0.0237279 0.0175394 0.0135620 0.0036565 0.0045291 0.0120400 0.0168596 0.0030476
breakpoint[6] 3.708682 0.6794366 8218 1.0005788 9209 6007 1 0.0074918 2.4259818 2.5842683 2.9037172 3.640859 4.616805 5.230470 5.667467 2.7346301 3.640859 4.960936 0.0132330 0.0069402 0.0049367 0.0064095 0.0122037 0.0279482 0.0468380 0.0055261
breakpoint[19] 2.961286 0.3913406 16712 1.0005277 16882 17381 1 0.0030203 1.9104853 2.0774735 2.4296796 3.000956 3.423889 3.625985 3.725971 2.2488017 3.000956 3.527819 0.0090513 0.0093785 0.0072567 0.0027056 0.0043965 0.0061286 0.0079664 0.0021357
breakpoint[1] 10.645357 0.2151572 16472 1.0004815 16389 14766 1 0.0016745 10.0738931 10.1888826 10.3694222 10.653646 10.911735 11.044712 11.111078 10.2776666 10.653646 10.979780 0.0082036 0.0054529 0.0028599 0.0019370 0.0027520 0.0050612 0.0061987 0.0011854
breakpoint[30] 1.963707 0.3011422 9471 1.0004145 9569 10502 1 0.0030950 1.2580706 1.3668432 1.5772474 1.993964 2.310080 2.534616 2.704017 1.4658031 1.993964 2.414265 0.0040622 0.0058915 0.0052282 0.0036375 0.0043284 0.0097628 0.0138107 0.0021886
breakpoint[21] 1.175676 0.1701471 4740 1.0004032 9833 5223 1 0.0024688 0.9411550 0.9687596 1.0268837 1.146067 1.342630 1.634123 1.824766 0.9938597 1.146067 1.475213 0.0015110 0.0010772 0.0010550 0.0008666 0.0053801 0.0172956 0.0450999 0.0019674
breakpoint[24] 5.656678 0.2707791 12750 1.0003523 14953 10405 1 0.0023960 4.8104210 5.0245391 5.3102901 5.698484 5.946160 6.061173 6.122747 5.1537874 5.698484 6.008230 0.0273745 0.0140166 0.0058635 0.0022592 0.0020117 0.0031524 0.0057676 0.0016943
breakpoint[27] 8.966410 4.8994001 11286 1.0003132 11593 13265 1 0.0461067 3.1120351 3.3967318 4.0231029 7.262005 17.040426 19.109019 20.002036 3.6663522 7.262005 18.156427 0.0177181 0.0109926 0.0157585 0.0495632 0.0520987 0.0661877 0.0505493 0.0326032
breakpoint[10] 2.042143 0.2961068 22810 1.0002341 22883 23294 1 0.0019594 1.4062632 1.4905433 1.6505577 2.037935 2.412157 2.632696 2.729323 1.5744498 2.037935 2.530135 0.0059063 0.0047943 0.0021378 0.0022248 0.0032135 0.0066556 0.0054064 0.0013855
breakpoint[26] 4.798815 0.2949378 14672 1.0001756 15302 11918 1 0.0024276 4.0557331 4.1863191 4.4180389 4.804619 5.154741 5.351688 5.438975 4.2987421 4.804619 5.265232 0.0257437 0.0100860 0.0057451 0.0026295 0.0028734 0.0037821 0.0062438 0.0017166
breakpoint[3] 2.797403 0.6267428 9021 1.0001686 9592 6692 1 0.0065971 1.5239099 1.6971004 2.0247579 2.747608 3.618425 4.157610 4.456579 1.8512807 2.747608 3.907154 0.0116615 0.0108180 0.0062759 0.0073085 0.0195482 0.0253706 0.0349608 0.0048639
breakpoint[28] 4.096313 1.1968204 17775 1.0001463 18491 18881 1 0.0089728 1.3652320 1.6881734 2.4289267 4.212581 5.559728 6.036284 6.288781 2.0224560 4.212581 5.819535 0.0178212 0.0180003 0.0168675 0.0182112 0.0096516 0.0125084 0.0214023 0.0064148
breakpoint[11] 3.029105 0.6169405 19552 1.0001254 19366 20156 1 0.0044111 1.6729497 1.8875687 2.2880285 2.996237 3.818817 4.411445 4.736617 2.0797168 2.996237 4.130960 0.0159606 0.0091904 0.0092194 0.0048128 0.0104247 0.0149433 0.0182843 0.0031192
breakpoint[25] 7.902330 0.5356164 15355 1.0001085 15229 11044 1 0.0043155 6.8016861 6.9245558 7.1979093 7.917282 8.617848 8.921490 9.083232 7.0416574 7.917282 8.778073 0.0102180 0.0078711 0.0077113 0.0058396 0.0054292 0.0066934 0.0118707 0.0030516
breakpoint[9] 4.433946 0.2249234 19014 1.0000868 19386 16171 1 0.0016309 3.8556912 3.9570842 4.1494285 4.437210 4.708606 4.846169 4.935038 4.0546213 4.437210 4.776977 0.0121658 0.0067981 0.0033400 0.0021217 0.0023160 0.0043700 0.0043157 0.0011532
breakpoint[31] 10.536949 1.9847746 21923 1.0000719 21863 21592 1 0.0134039 3.3123615 3.6823013 8.7465949 11.005389 12.211175 12.722622 12.971194 4.4388352 11.005389 12.480442 0.0208449 0.0235324 0.0367259 0.0084586 0.0092796 0.0110708 0.0165618 0.0094819
breakpoint[13] 10.065181 0.4861231 23012 1.0000689 23055 22102 1 0.0032041 8.9512121 9.1436257 9.4686306 10.038123 10.701602 11.051594 11.262370 9.2957127 10.038123 10.907119 0.0085178 0.0123456 0.0058151 0.0039755 0.0053588 0.0078956 0.0095414 0.0022671
breakpoint[7] 4.689198 0.2505811 18172 1.0000679 18288 16785 1 0.0018572 4.0740189 4.1839242 4.3753705 4.690105 5.000149 5.181158 5.285954 4.2758495 4.690105 5.091751 0.0087642 0.0057997 0.0051131 0.0020102 0.0025207 0.0057937 0.0074376 0.0013133
breakpoint[34] 6.952289 0.9480542 17059 1.0000656 17000 16319 1 0.0072473 3.8890494 4.6597575 5.8091106 7.034720 8.037225 8.530479 8.801565 5.2290190 7.034720 8.306028 0.0681957 0.0443751 0.0171599 0.0084698 0.0077726 0.0136278 0.0186765 0.0051399
breakpoint[4] 2.514798 0.4087145 17464 1.0000589 17467 15515 1 0.0030926 1.6147829 1.7164132 1.9630652 2.520445 3.007991 3.346558 3.547676 1.8270431 2.520445 3.176687 0.0058795 0.0064209 0.0047728 0.0039280 0.0040781 0.0113830 0.0108003 0.0022045
breakpoint[15] 4.753825 0.2816450 19845 1.0000552 20090 17516 1 0.0019959 4.1391391 4.2295102 4.3996116 4.742634 5.123437 5.332811 5.437989 4.3087832 4.742634 5.229272 0.0086898 0.0036101 0.0023979 0.0022703 0.0049045 0.0059419 0.0131107 0.0014191
breakpoint[16] 3.615773 0.1571206 22505 1.0000492 22545 20554 1 0.0010469 3.2558017 3.3109829 3.4082802 3.618341 3.812766 3.925269 3.991888 3.3539385 3.618341 3.873072 0.0044979 0.0020440 0.0016677 0.0012708 0.0021053 0.0035404 0.0044397 0.0007414
breakpoint[17] 4.939695 0.0830049 23890 1.0000490 23946 22190 1 0.0005374 4.7472729 4.7790956 4.8364736 4.937932 5.042251 5.107125 5.153563 4.8045820 4.937932 5.073808 0.0013400 0.0011637 0.0008444 0.0006703 0.0011228 0.0021968 0.0043226 0.0003800
breakpoint[22] 2.012179 0.5049546 19887 1.0000480 20026 20464 1 0.0035787 0.8167900 0.9808736 1.3426396 2.022536 2.660364 2.960850 3.109119 1.1449764 2.022536 2.824632 0.0107012 0.0098001 0.0081659 0.0049282 0.0054982 0.0063211 0.0061884 0.0025331
breakpoint[8] 3.050044 0.5246089 21554 1.0000462 21287 22156 1 0.0035721 1.5257166 1.8112722 2.3820801 3.093305 3.642869 4.011802 4.229157 2.0879098 3.093305 3.821456 0.0176888 0.0141171 0.0092240 0.0044378 0.0060183 0.0102362 0.0162378 0.0025321
breakpoint[14] 4.035907 0.0875368 22323 1.0000438 22451 20756 1 0.0005858 3.8385718 3.8707897 3.9279537 4.032224 4.148289 4.218712 4.256487 3.8979096 4.032224 4.188119 0.0015095 0.0012475 0.0010800 0.0006099 0.0015506 0.0017561 0.0034345 0.0004146
breakpoint[35] 4.428820 0.2334373 24630 1.0000417 24618 24534 1 0.0014867 3.8920570 3.9848975 4.1426675 4.425549 4.726239 4.911671 5.020011 4.0614297 4.425549 4.826323 0.0058257 0.0039468 0.0024897 0.0018628 0.0032088 0.0033542 0.0097613 0.0010513
breakpoint[23] 9.845142 0.2757538 20268 1.0000380 20400 17618 1 0.0019362 9.1764063 9.3010294 9.4909009 9.847733 10.195285 10.380750 10.496931 9.3953012 9.847733 10.286282 0.0099899 0.0057867 0.0034907 0.0023217 0.0029662 0.0056365 0.0084821 0.0013692
breakpoint[12] 9.984261 0.3052399 23570 1.0000281 23594 23707 1 0.0019870 9.2419695 9.3699318 9.5963953 9.987545 10.372622 10.575239 10.689989 9.4714478 9.987545 10.479843 0.0080360 0.0045009 0.0035738 0.0025321 0.0031916 0.0067044 0.0061160 0.0014051
breakpoint[37] 5.210591 0.6756801 23896 1.0000143 23812 23892 1 0.0043703 3.4911233 3.7354872 4.2314885 5.301071 5.989056 6.280299 6.449679 3.9476922 5.301071 6.144999 0.0207324 0.0131489 0.0078367 0.0058639 0.0033061 0.0052613 0.0110697 0.0030964
breakpoint[32] 2.183695 0.1548018 21859 1.0000033 21822 20430 1 0.0010458 1.7958252 1.8888926 2.0145970 2.175244 2.357419 2.554389 2.648554 1.9540336 2.175244 2.453413 0.0088431 0.0035751 0.0014965 0.0010667 0.0023757 0.0046612 0.0049972 0.0007426
breakpoint[5] 11.620609 0.4209538 23294 0.9999877 23312 22649 1 0.0027578 10.6454584 10.8100725 11.0933434 11.618087 12.153952 12.468344 12.656896 10.9442341 11.618087 12.318135 0.0088381 0.0085730 0.0052193 0.0035474 0.0053842 0.0090419 0.0072628 0.0019518
breakpoint[18] 2.861280 0.1263336 22764 0.9999358 23005 21559 1 0.0008369 2.5705663 2.6221301 2.7141527 2.853574 3.014133 3.135768 3.219655 2.6655557 2.853574 3.079840 0.0030948 0.0032895 0.0012602 0.0008899 0.0017835 0.0053990 0.0045704 0.0005927
breakpoint[29] 3.609053 0.2990250 17502 0.9999322 18522 16005 1 0.0022588 3.0090372 3.1049137 3.2592853 3.583038 3.993099 4.285786 4.441370 3.1801627 3.583038 4.148015 0.0052198 0.0038638 0.0026115 0.0026874 0.0052931 0.0103933 0.0170394 0.0016194
breakpoint[33] 2.658127 0.1129171 19246 0.9998820 19692 18345 1 0.0008136 2.4093882 2.4482468 2.5238634 2.651817 2.808007 2.907186 2.955433 2.4828577 2.651817 2.861972 0.0042792 0.0012854 0.0007708 0.0007744 0.0022079 0.0021098 0.0042987 0.0005778
Slope before \(\eta_{1, i}^{b}\)
rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
eta_slope[20,1] 2.4271606 0.6971903 3077 1.0013340 2340 1738 1 0.0125719 0.3989881 0.7028654 1.3939113 2.6005416 3.188296 3.270674 3.309982 0.9978415 2.6005416 3.244471 0.0243434 0.0174422 0.0204816 0.0139361 0.0071530 0.0076540 0.0193791 0.0097712
eta_slope[2,1] 0.8029187 0.3389860 8016 1.0011527 7111 5064 1 0.0037774 0.0611441 0.1286287 0.3353664 0.8111982 1.237430 1.441879 1.532025 0.2143731 0.8111982 1.348187 0.0084761 0.0065978 0.0042724 0.0029206 0.0066403 0.0105893 0.0136151 0.0028468
eta_slope[36,1] 7.4196099 0.4927572 12243 1.0005455 12508 10993 1 0.0044488 5.7224718 6.1632758 6.7840977 7.5133586 7.931993 8.125543 8.204841 6.4805264 7.5133586 8.034003 0.0361246 0.0387830 0.0128223 0.0043429 0.0039322 0.0071479 0.0102825 0.0031458
eta_slope[30,1] 4.9159595 0.5466431 9509 1.0004567 9548 9458 1 0.0056042 3.8505550 4.0008335 4.3118502 4.8339903 5.651286 6.196304 6.485723 4.1511889 4.8339903 5.912277 0.0114686 0.0147853 0.0057765 0.0051837 0.0138263 0.0258780 0.0341777 0.0039629
eta_slope[27,1] 2.1016973 0.2487901 10728 1.0004352 10332 11141 1 0.0024001 1.3836716 1.5117068 1.7437498 2.1437397 2.373440 2.402143 2.416784 1.6123039 2.1437397 2.389562 0.0102860 0.0041366 0.0052109 0.0029605 0.0007356 0.0007679 0.0019936 0.0017188
eta_slope[6,1] 4.7054593 0.2805389 10845 1.0004342 9761 6457 1 0.0026911 4.1767854 4.2325257 4.3694648 4.6813539 5.079248 5.319962 5.470103 4.2929660 4.6813539 5.209922 0.0044195 0.0057455 0.0049950 0.0036211 0.0027293 0.0077114 0.0080056 0.0019030
eta_slope[19,1] 1.7295573 0.3919530 16746 1.0003787 15998 13547 1 0.0030274 0.5979999 0.8100581 1.2070582 1.7800700 2.188307 2.358122 2.457508 0.9952069 1.7800700 2.286767 0.0076334 0.0103712 0.0077892 0.0041087 0.0041222 0.0052555 0.0059715 0.0021904
eta_slope[21,1] 5.6951392 0.5861857 7732 1.0003786 10060 5515 1 0.0066576 3.8512863 4.2518848 4.9470025 5.7704792 6.349905 6.650612 6.813807 4.5471964 5.7704792 6.500730 0.0870397 0.0325750 0.0231207 0.0060916 0.0052087 0.0080535 0.0120129 0.0047078
eta_slope[10,1] 6.3273550 0.4075407 22013 1.0003677 21949 21419 1 0.0027464 5.4566112 5.5995736 5.8411271 6.2947816 6.868244 7.206234 7.385713 5.7121299 6.2947816 7.049136 0.0086418 0.0066226 0.0037623 0.0033477 0.0043382 0.0090198 0.0100529 0.0019420
eta_slope[9,1] 1.8806576 0.0981758 20567 1.0003149 21180 17984 1 0.0006842 1.6071389 1.6695263 1.7554759 1.8877534 1.998372 2.052999 2.082071 1.7098501 1.8877534 2.028910 0.0061061 0.0027803 0.0014036 0.0008562 0.0009956 0.0012069 0.0013207 0.0004838
eta_slope[13,1] 2.8525221 0.0355093 23478 1.0002922 23531 22800 1 0.0002316 2.7623064 2.7780456 2.8062038 2.8538963 2.896343 2.919243 2.932699 2.7920900 2.8538963 2.908255 0.0006887 0.0007828 0.0003933 0.0003307 0.0004023 0.0005414 0.0011473 0.0001638
eta_slope[28,1] 5.9402986 0.2909074 18126 1.0002747 15780 14521 1 0.0021583 4.8415580 5.1880468 5.6155343 6.0137982 6.183088 6.253807 6.303272 5.4119724 6.0137982 6.218917 0.0330852 0.0153728 0.0075138 0.0016296 0.0017483 0.0016874 0.0035056 0.0015441
eta_slope[32,1] 4.6764074 0.2138285 23341 1.0002663 23266 22962 1 0.0013993 4.1245883 4.2267036 4.4161573 4.6786502 4.930694 5.103982 5.211013 4.3219472 4.6786502 5.015572 0.0097979 0.0037325 0.0022838 0.0017159 0.0024069 0.0059247 0.0059450 0.0009895
eta_slope[22,1] 4.2910628 0.6063440 17585 1.0002595 17109 17994 1 0.0045701 2.0773608 2.7196088 3.5764366 4.3978309 4.895406 5.137895 5.282448 3.1534627 4.3978309 5.019935 0.0599899 0.0261264 0.0117687 0.0038976 0.0039339 0.0058444 0.0123070 0.0032651
eta_slope[3,1] 3.0765600 0.5004879 11933 1.0002506 10446 7403 1 0.0045776 1.5475480 1.8619757 2.4168280 3.1532604 3.641443 3.833463 3.915715 2.1400929 3.1532604 3.758588 0.0262349 0.0174852 0.0083166 0.0057962 0.0053691 0.0060676 0.0072078 0.0033636
eta_slope[16,1] 3.3002464 0.3720739 23501 1.0002406 23265 20360 1 0.0024260 2.3258364 2.4948266 2.8153955 3.3255660 3.753965 3.953788 4.070510 2.6431115 3.3255660 3.862628 0.0079350 0.0095652 0.0051875 0.0028969 0.0033377 0.0045631 0.0070926 0.0017235
eta_slope[7,1] 3.9968915 0.2493537 18448 1.0002349 18749 17291 1 0.0018260 3.3919907 3.4932187 3.6858546 3.9971569 4.306312 4.488909 4.584321 3.5869864 3.9971569 4.406776 0.0091079 0.0053633 0.0034424 0.0018910 0.0027380 0.0039065 0.0072953 0.0012912
eta_slope[12,1] 4.3364807 0.0512894 24182 1.0002236 24201 24659 1 0.0003296 4.2170591 4.2367627 4.2719532 4.3353537 4.402109 4.441799 4.463269 4.2537664 4.3353537 4.422471 0.0012733 0.0006443 0.0006079 0.0003705 0.0005332 0.0007217 0.0021411 0.0002331
eta_slope[4,1] 2.0946914 0.4177443 17832 1.0002151 17194 14923 1 0.0031273 0.8847095 1.1296793 1.5438324 2.1402280 2.577836 2.796806 2.895747 1.3338533 2.1402280 2.697912 0.0141327 0.0123118 0.0074947 0.0047079 0.0045134 0.0059097 0.0090646 0.0022499
eta_slope[35,1] 3.3472697 0.0596933 24534 1.0001280 24659 24038 1 0.0003802 3.2042768 3.2264655 3.2716093 3.3473653 3.422109 3.463133 3.484007 3.2478926 3.3473653 3.444320 0.0014934 0.0011104 0.0008066 0.0004793 0.0005377 0.0008814 0.0014900 0.0002691
eta_slope[5,1] 2.6762157 0.0247878 22745 1.0001266 22811 21770 1 0.0001642 2.6163764 2.6261078 2.6443031 2.6765150 2.707850 2.723051 2.732767 2.6342663 2.6765150 2.716469 0.0007335 0.0003288 0.0002653 0.0002322 0.0002562 0.0005948 0.0004548 0.0001161
eta_slope[14,1] 5.7761243 0.1083436 21749 1.0001242 21864 20889 1 0.0007344 5.5037859 5.5532037 5.6337551 5.7799797 5.912274 5.978499 6.013264 5.5923934 5.7799797 5.948287 0.0021553 0.0027236 0.0015920 0.0008522 0.0009686 0.0014485 0.0021098 0.0005193
eta_slope[34,1] 4.4564945 0.0763334 17218 1.0001180 17320 16196 1 0.0005814 4.2566135 4.2974175 4.3609824 4.4590089 4.547605 4.597038 4.630321 4.3281399 4.4590089 4.572431 0.0028026 0.0025259 0.0009668 0.0006682 0.0010564 0.0019550 0.0017923 0.0004111
eta_slope[17,1] 3.9118276 0.0500094 23679 1.0000988 23773 21586 1 0.0003250 3.7779632 3.8049816 3.8476970 3.9139631 3.973258 4.003923 4.019094 3.8253038 3.9139631 3.989359 0.0022842 0.0015389 0.0006274 0.0003139 0.0004305 0.0009666 0.0014581 0.0002298
eta_slope[24,1] 4.8486412 0.1222291 15535 1.0000922 16690 13355 1 0.0009807 4.5006401 4.5762523 4.6972275 4.8574763 4.992726 5.063998 5.102251 4.6407297 4.8574763 5.031518 0.0083820 0.0043817 0.0018410 0.0009254 0.0012154 0.0016457 0.0031186 0.0006935
eta_slope[23,1] 2.7464028 0.0291155 21809 1.0000847 21776 20896 1 0.0001971 2.6763244 2.6878013 2.7094013 2.7465819 2.783791 2.802311 2.812223 2.6972010 2.7465819 2.792995 0.0009506 0.0007376 0.0003404 0.0002900 0.0002921 0.0004753 0.0005729 0.0001394
eta_slope[29,1] 6.3527770 0.2697859 19751 1.0000718 20240 17400 1 0.0019175 5.6276093 5.7698529 5.9971427 6.3732064 6.680731 6.821059 6.911977 5.8797008 6.3732064 6.758123 0.0080006 0.0062439 0.0034340 0.0021460 0.0029971 0.0043671 0.0071817 0.0013559
eta_slope[15,1] 5.2346994 0.1427750 18187 1.0000664 18548 16001 1 0.0010581 4.8757226 4.9367209 5.0509410 5.2399266 5.411426 5.500152 5.547144 4.9931699 5.2399266 5.457853 0.0034488 0.0036027 0.0022736 0.0016133 0.0015184 0.0023090 0.0034962 0.0007482
eta_slope[11,1] 1.1682017 0.1417454 19435 1.0000611 19413 19830 1 0.0010158 0.7915301 0.8661925 0.9871519 1.1736445 1.339722 1.422307 1.472619 0.9253470 1.1736445 1.384532 0.0071793 0.0035926 0.0019931 0.0010132 0.0014494 0.0026442 0.0035641 0.0007187
eta_slope[1,1] 2.8984213 0.0455417 20231 1.0000118 20278 18779 1 0.0003198 2.7911356 2.8093779 2.8416221 2.8975569 2.956049 2.989209 3.010998 2.8245217 2.8975569 2.973995 0.0011845 0.0007691 0.0005635 0.0003947 0.0006364 0.0005668 0.0020132 0.0002263
eta_slope[26,1] 2.9464524 0.0650448 18161 1.0000066 18155 16766 1 0.0004824 2.7835100 2.8128731 2.8644598 2.9475653 3.027740 3.072473 3.100382 2.8385565 2.9475653 3.050879 0.0024354 0.0015699 0.0008413 0.0004970 0.0008096 0.0015143 0.0018961 0.0003416
eta_slope[8,1] 3.6956132 0.1824853 20229 0.9999870 20042 19971 1 0.0012823 3.2522422 3.3437288 3.4850919 3.6952034 3.905796 4.049814 4.182561 3.4113280 3.6952034 3.973536 0.0092603 0.0044279 0.0022259 0.0011913 0.0023993 0.0046109 0.0084964 0.0009083
eta_slope[31,1] 4.5247173 0.2768519 22143 0.9999834 20960 20044 1 0.0018603 3.1909161 3.4640912 4.4374328 4.5908467 4.676680 4.714536 4.733341 3.9579020 4.5908467 4.698376 0.0192836 0.0224239 0.0032123 0.0008224 0.0008643 0.0008799 0.0013194 0.0013187
eta_slope[25,1] 4.3527649 0.0673087 16793 0.9999778 16829 13835 1 0.0005180 4.1978462 4.2232937 4.2661934 4.3519490 4.441171 4.483559 4.504784 4.2435965 4.3519490 4.465043 0.0012549 0.0017364 0.0006810 0.0006515 0.0010740 0.0011086 0.0019695 0.0003668
eta_slope[37,1] 3.3732877 0.1323079 23874 0.9999497 23685 23672 1 0.0008560 3.0915641 3.1365306 3.2168123 3.3633519 3.548861 3.664961 3.733536 3.1724469 3.3633519 3.607797 0.0023392 0.0023261 0.0012539 0.0012315 0.0019577 0.0035815 0.0053183 0.0006053
eta_slope[18,1] 2.9698129 0.0723755 23592 0.9999126 23680 22949 1 0.0004709 2.7871701 2.8217931 2.8789366 2.9704813 3.058802 3.109858 3.142862 2.8505240 2.9704813 3.087588 0.0019873 0.0017966 0.0009465 0.0006012 0.0007721 0.0015542 0.0016598 0.0003330
eta_slope[33,1] 5.4528454 0.2219550 20171 0.9998995 20219 19142 1 0.0015612 4.9325750 5.0159750 5.1682231 5.4560606 5.734421 5.890443 5.993068 5.0859920 5.4560606 5.813665 0.0086430 0.0038963 0.0028824 0.0015179 0.0021215 0.0026260 0.0063355 0.0011039
Slope after \(\eta_{1, i}^{a}\)
rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
eta_slope[20,2] 3.3437139 0.0795511 2648 1.0014718 2909 2092 1 0.0015453 3.0496596 3.1353214 3.2498609 3.3568556 3.4233051 3.4544885 3.475627 3.1922172 3.3568556 3.4407823 0.0193772 0.0118745 0.0089523 0.0013132 0.0010830 0.0020790 0.0031263 0.0010933
eta_slope[36,2] 11.9508386 0.5100374 8930 1.0007227 9345 8173 1 0.0053890 10.7472942 10.9269421 11.2807889 11.9645995 12.5821028 12.9195990 13.117525 11.0924840 11.9645995 12.7634124 0.0236997 0.0182346 0.0103403 0.0046479 0.0047535 0.0180435 0.0201731 0.0038261
eta_slope[30,2] 1.7847805 0.2547665 11214 1.0005155 10985 10390 1 0.0024030 1.1016710 1.2452853 1.4670791 1.7978124 2.0935988 2.2394870 2.333470 1.3562542 1.7978124 2.1705804 0.0167092 0.0083083 0.0036885 0.0029923 0.0056824 0.0075335 0.0065069 0.0017196
eta_slope[19,2] 5.2837340 0.5576992 13038 1.0004192 12891 10448 1 0.0048766 4.0234230 4.2357488 4.5825399 5.2757127 5.9945342 6.4293075 6.685698 4.4014330 5.2757127 6.2090732 0.0109462 0.0147078 0.0084858 0.0056957 0.0072177 0.0145854 0.0178179 0.0034484
eta_slope[6,2] 3.6667874 0.0148332 13777 1.0004093 13897 10487 1 0.0001264 3.6311435 3.6368602 3.6476042 3.6669680 3.6857484 3.6951329 3.700469 3.6419732 3.6669680 3.6909745 0.0008021 0.0003694 0.0002691 0.0001558 0.0002560 0.0003924 0.0005272 0.0000894
eta_slope[2,2] 2.6499613 0.0860951 7748 1.0003919 9407 6806 1 0.0009755 2.4768128 2.5093951 2.5606908 2.6417910 2.7443246 2.8488103 2.929044 2.5341617 2.6417910 2.7909162 0.0042897 0.0017549 0.0010459 0.0008687 0.0021900 0.0075621 0.0107736 0.0006966
eta_slope[1,2] 0.4310775 0.1672747 14300 1.0003646 13461 9847 1 0.0014013 0.0529185 0.1023292 0.2188457 0.4287477 0.6440128 0.7671849 0.827635 0.1536665 0.4287477 0.7127377 0.0065583 0.0039150 0.0026966 0.0013673 0.0023467 0.0031024 0.0047001 0.0009909
eta_slope[27,2] 2.3315901 0.0778576 12387 1.0003433 9333 8709 1 0.0006986 2.1308223 2.1645999 2.2244423 2.3524963 2.3876220 2.4038052 2.413697 2.1892104 2.3524963 2.3963711 0.0037460 0.0018850 0.0016813 0.0005038 0.0004307 0.0006451 0.0009595 0.0004940
eta_slope[29,2] 2.5326635 0.3200716 18192 1.0003426 19230 16660 1 0.0023730 1.6252909 1.8243835 2.1365536 2.5519800 2.9124973 3.1008774 3.222426 1.9751102 2.5519800 3.0060818 0.0156245 0.0134997 0.0052865 0.0024563 0.0034202 0.0050169 0.0095358 0.0016780
eta_slope[24,2] 8.4695710 0.5461621 15076 1.0003036 15293 11529 1 0.0044438 7.1604421 7.3532048 7.7672870 8.4847886 9.1446826 9.5252873 9.755668 7.5501357 8.4847886 9.3308959 0.0279731 0.0174774 0.0077734 0.0052519 0.0062228 0.0127547 0.0132548 0.0031423
eta_slope[8,2] 4.1923990 0.2333215 20382 1.0002965 20294 19237 1 0.0016330 3.6838035 3.7635391 3.9107748 4.1854685 4.4816065 4.6778480 4.790823 3.8321398 4.1854685 4.5837980 0.0060956 0.0036780 0.0029684 0.0018759 0.0037191 0.0056265 0.0069323 0.0011548
eta_slope[3,2] 4.9552590 0.1097661 11690 1.0002772 11969 8454 1 0.0010146 4.7105085 4.7502424 4.8211531 4.9509332 5.0968176 5.1849306 5.235676 4.7823671 4.9509332 5.1431770 0.0031703 0.0023647 0.0012185 0.0010919 0.0021130 0.0031938 0.0043050 0.0007198
eta_slope[10,2] 3.3264071 0.4946573 22626 1.0001748 22200 20503 1 0.0032857 1.8148245 2.1874046 2.7028193 3.3860077 3.8775094 4.1231241 4.256597 2.4299075 3.3860077 4.0148373 0.0175187 0.0113935 0.0067245 0.0042121 0.0044134 0.0051429 0.0123613 0.0023403
eta_slope[28,2] 5.8549237 0.3245718 16391 1.0001545 16178 16085 1 0.0025308 4.8870397 5.1054336 5.4276547 5.9059210 6.2106172 6.3485147 6.427069 5.2615382 5.9059210 6.2792017 0.0190428 0.0102532 0.0053123 0.0033151 0.0029721 0.0035476 0.0060748 0.0017929
eta_slope[26,2] 1.4459091 0.2703522 16615 1.0001388 15920 11626 1 0.0020925 0.6944963 0.8526604 1.0995746 1.4673751 1.7715393 1.9258219 2.023268 0.9766490 1.4673751 1.8516470 0.0068626 0.0064592 0.0030980 0.0024689 0.0041932 0.0046245 0.0097702 0.0015392
eta_slope[11,2] 1.4840030 0.1334631 19410 1.0001343 18922 17737 1 0.0009577 1.1114838 1.2223522 1.3374943 1.4864345 1.6334780 1.7340312 1.800903 1.2839246 1.4864345 1.6858720 0.0107972 0.0045335 0.0017536 0.0011274 0.0015826 0.0039134 0.0045364 0.0006809
eta_slope[21,2] 2.5748550 0.1007961 10468 1.0001040 12576 9197 1 0.0009812 2.2988667 2.3657788 2.4604011 2.5756606 2.6906963 2.7710300 2.835943 2.4144724 2.5756606 2.7312959 0.0082133 0.0048574 0.0017910 0.0008572 0.0014755 0.0036653 0.0104967 0.0006938
eta_slope[17,2] 1.2744674 0.0369939 24290 1.0001006 24332 22707 1 0.0002373 1.1867042 1.2001847 1.2273124 1.2749704 1.3203011 1.3459512 1.363781 1.2134218 1.2749704 1.3344334 0.0010546 0.0007250 0.0003692 0.0002687 0.0004543 0.0004190 0.0011646 0.0001678
eta_slope[14,2] 1.8125802 0.0328180 22639 1.0000744 22656 22437 1 0.0002180 1.7323861 1.7465413 1.7712911 1.8127836 1.8539758 1.8763072 1.887784 1.7580790 1.8127836 1.8659651 0.0011311 0.0007513 0.0004813 0.0002538 0.0003860 0.0005528 0.0006741 0.0001541
eta_slope[4,2] 4.0719403 0.2067542 17606 1.0000548 17788 17105 1 0.0015569 3.6199710 3.6946866 3.8253240 4.0632517 4.3273193 4.5112365 4.641336 3.7561282 4.0632517 4.4194146 0.0060238 0.0036731 0.0017658 0.0019789 0.0036203 0.0059524 0.0080045 0.0011027
eta_slope[15,2] 2.5932599 0.1199594 21294 1.0000519 21342 19796 1 0.0008219 2.2809907 2.3418754 2.4409800 2.5966895 2.7416243 2.8212578 2.860894 2.3894869 2.5966895 2.7832337 0.0020938 0.0031898 0.0017084 0.0011442 0.0012596 0.0013708 0.0023800 0.0005812
eta_slope[37,2] 1.9688921 0.2799930 22703 1.0000460 23065 22613 1 0.0018563 1.2407158 1.3779288 1.6057263 1.9844575 2.3156882 2.4504129 2.509863 1.4828190 1.9844575 2.3919565 0.0113198 0.0053925 0.0035891 0.0028880 0.0024447 0.0041806 0.0036064 0.0013126
eta_slope[18,2] 1.8523753 0.0540719 22218 1.0000347 22767 22353 1 0.0003600 1.7139614 1.7408166 1.7852374 1.8534477 1.9179033 1.9555950 1.981180 1.7633234 1.8534477 1.9382091 0.0019349 0.0011577 0.0006193 0.0003619 0.0005632 0.0009592 0.0018319 0.0002554
eta_slope[31,2] 5.4347169 0.1255570 21277 1.0000341 21230 20261 1 0.0008607 5.1247890 5.1545287 5.2714556 5.4413546 5.5896686 5.6661790 5.717163 5.1969972 5.4413546 5.6317631 0.0014916 0.0025092 0.0019083 0.0010417 0.0011951 0.0020057 0.0033712 0.0006087
eta_slope[34,2] 5.0062355 0.2376187 17590 1.0000281 17122 16527 1 0.0017901 4.5443114 4.6048715 4.7289132 4.9848062 5.3051968 5.5246709 5.694239 4.6620152 4.9848062 5.4156768 0.0058905 0.0024524 0.0022174 0.0018869 0.0039551 0.0071209 0.0094926 0.0012658
eta_slope[33,2] 1.3229682 0.0951333 20626 1.0000242 20746 21575 1 0.0006615 1.0837644 1.1262552 1.2032117 1.3250025 1.4400030 1.5054566 1.546882 1.1626202 1.3250025 1.4762517 0.0024837 0.0022534 0.0013110 0.0008475 0.0008867 0.0013320 0.0024670 0.0004678
eta_slope[32,2] 2.0792172 0.3146891 21630 1.0000205 21828 20879 1 0.0021391 1.1020259 1.3593012 1.7104590 2.1011603 2.4374607 2.6455323 2.792653 1.5366557 2.1011603 2.5417573 0.0194208 0.0127441 0.0046440 0.0019114 0.0032496 0.0065370 0.0071034 0.0015126
eta_slope[9,2] 4.3135275 0.2658361 19398 1.0000159 19177 16356 1 0.0019076 3.7138607 3.8186789 3.9884457 4.3007704 4.6542105 4.8744650 5.002980 3.8994116 4.3007704 4.7643911 0.0085841 0.0049613 0.0028795 0.0024331 0.0033457 0.0071716 0.0051244 0.0013489
eta_slope[16,2] 11.2860700 0.1389970 22859 1.0000059 22928 21980 1 0.0009186 10.9574823 11.0162860 11.1095504 11.2850644 11.4622911 11.5657756 11.620915 11.0621906 11.2850644 11.5155480 0.0042128 0.0032763 0.0016484 0.0010365 0.0013778 0.0027044 0.0028259 0.0006496
eta_slope[22,2] 4.3393651 0.7173081 17292 1.0000023 17091 15985 1 0.0054500 2.2840467 2.8169530 3.5326121 4.3612816 5.1064790 5.7437331 6.146742 3.1910436 4.3612816 5.4286481 0.0500203 0.0274876 0.0113111 0.0055266 0.0086487 0.0305493 0.0322684 0.0038538
eta_slope[7,2] 8.4021023 0.5162539 19301 0.9999975 19074 16483 1 0.0037132 7.2390927 7.4392962 7.7719146 8.3791086 9.0616856 9.4792647 9.721025 7.5892966 8.3791086 9.2812222 0.0171182 0.0104991 0.0075925 0.0038715 0.0049179 0.0104715 0.0134543 0.0026257
eta_slope[5,2] 2.0142364 0.0191396 23843 0.9999932 23855 22593 1 0.0001239 1.9669200 1.9759074 1.9899658 2.0145852 2.0384970 2.0510423 2.057241 1.9824751 2.0145852 2.0450794 0.0006433 0.0003015 0.0001949 0.0001806 0.0001948 0.0002761 0.0003772 0.0000876
eta_slope[23,2] 1.5823102 0.1323637 21581 0.9999880 21387 18986 1 0.0009009 1.2360388 1.3054267 1.4122580 1.5876465 1.7454909 1.8258522 1.867987 1.3564206 1.5876465 1.7881738 0.0040562 0.0020405 0.0018754 0.0015104 0.0013055 0.0026720 0.0026993 0.0006406
eta_slope[13,2] 1.8078170 0.0584555 22885 0.9999866 22974 23329 1 0.0003863 1.6552449 1.6827610 1.7316793 1.8108952 1.8801591 1.9143523 1.934738 1.7068398 1.8108952 1.8985645 0.0016134 0.0014266 0.0007447 0.0004366 0.0006108 0.0010342 0.0011242 0.0002732
eta_slope[12,2] 2.6632146 0.0722514 23101 0.9999856 23125 23471 1 0.0004754 2.4867794 2.5188243 2.5718754 2.6640073 2.7552151 2.7999441 2.824448 2.5443467 2.6640073 2.7792251 0.0014426 0.0013005 0.0006620 0.0005957 0.0007387 0.0009229 0.0018336 0.0003362
eta_slope[25,2] 2.4451508 0.3736575 17215 0.9999647 15911 12912 1 0.0028454 1.3430095 1.5738333 1.9456614 2.4999436 2.8690664 3.0049929 3.071499 1.7509892 2.4999436 2.9488068 0.0136770 0.0112743 0.0062674 0.0036581 0.0027691 0.0039104 0.0051203 0.0020591
eta_slope[35,2] 2.4806011 0.0744591 23696 0.9999585 23747 24076 1 0.0004831 2.2955001 2.3289736 2.3859591 2.4823367 2.5723786 2.6220845 2.648341 2.3568566 2.4823367 2.5978637 0.0013063 0.0006544 0.0007305 0.0006333 0.0006832 0.0016266 0.0020605 0.0003417

\(\psi_{2}\)

rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
theta[15] -0.1490166 0.3115224 7876 1.0007207 7957 20030 1 0.0034923 -0.8977787 -0.7768136 -0.5521833 -0.1448227 0.2493223 0.4413505 0.5483839 -0.6726024 -0.1448227 0.3542803 0.0080186 0.0047619 0.0052197 0.0033238 0.0043092 0.0044831 0.0068497 0.0024695
theta[14] 0.0101216 0.2853959 9372 1.0007050 9448 18893 1 0.0029382 -0.6629965 -0.5567647 -0.3565098 0.0135880 0.3723303 0.5622084 0.6635134 -0.4696327 0.0135880 0.4746012 0.0071813 0.0040658 0.0036412 0.0032436 0.0032875 0.0044088 0.0069582 0.0020777
theta[17] 0.0388805 0.2415188 16591 1.0006338 16560 22881 1 0.0018745 -0.5320676 -0.4403668 -0.2745068 0.0415033 0.3437774 0.5048481 0.5862051 -0.3642082 0.0415033 0.4288215 0.0050520 0.0041406 0.0026250 0.0019969 0.0026619 0.0042970 0.0071564 0.0013255
theta[18] -0.5946578 0.2613254 10167 1.0004822 10308 21468 1 0.0025811 -1.2219718 -1.1170890 -0.9319537 -0.5886880 -0.2647699 -0.0987685 -0.0086111 -1.0318447 -0.5886880 -0.1726339 0.0066946 0.0046033 0.0038752 0.0028163 0.0032093 0.0049045 0.0054519 0.0018252
theta[6] 0.1986802 0.2291754 15026 1.0004769 15174 21785 1 0.0018600 -0.3399805 -0.2494319 -0.0914998 0.1989767 0.4886091 0.6541965 0.7361831 -0.1772701 0.1989767 0.5753181 0.0051056 0.0028788 0.0028775 0.0022772 0.0026123 0.0052279 0.0050953 0.0013153
theta[11] -0.1578977 0.2643533 11320 1.0004439 11345 21988 1 0.0024774 -0.7923366 -0.6888552 -0.4963680 -0.1530125 0.1763877 0.3491001 0.4433331 -0.6014039 -0.1530125 0.2703101 0.0074773 0.0045114 0.0032527 0.0025546 0.0029777 0.0046001 0.0051540 0.0017518
hazard_gamma 0.6970606 0.1242063 17507 1.0003326 17500 22820 1 0.0009370 0.4356129 0.4739706 0.5423740 0.6908220 0.8600444 0.9559874 1.0117779 0.5043790 0.6908220 0.9094946 0.0022450 0.0016213 0.0013035 0.0010360 0.0014860 0.0027414 0.0038548 0.0006626
theta[4] -0.1884993 0.2904203 19842 1.0003323 19961 22164 1 0.0020564 -0.8856137 -0.7694636 -0.5622423 -0.1818405 0.1779113 0.3658392 0.4758264 -0.6745197 -0.1818405 0.2800479 0.0070982 0.0051170 0.0031268 0.0022557 0.0026299 0.0055617 0.0054346 0.0014541
theta[5] 0.1455411 0.2744463 16777 1.0002788 16965 23813 1 0.0021079 -0.4930504 -0.3910913 -0.2066006 0.1453166 0.4979300 0.6885020 0.7867572 -0.3080285 0.1453166 0.5973865 0.0076801 0.0049664 0.0035236 0.0023351 0.0021979 0.0044018 0.0082016 0.0014906
theta[13] -0.0669368 0.3284383 14690 1.0002469 14724 22021 1 0.0027080 -0.8736999 -0.7333324 -0.4911445 -0.0568096 0.3465367 0.5439331 0.6528807 -0.6198338 -0.0568096 0.4621374 0.0075607 0.0081323 0.0043995 0.0028470 0.0038395 0.0056013 0.0068796 0.0019149
alpha -0.5594026 0.1390443 7472 1.0002421 7705 16481 1 0.0015964 -0.9056296 -0.8476137 -0.7389185 -0.5534283 -0.3855757 -0.3004146 -0.2552819 -0.7965122 -0.5534283 -0.3408540 0.0044503 0.0035908 0.0024518 0.0015142 0.0016996 0.0016855 0.0025870 0.0011414
theta[9] -0.2933161 0.2667246 19913 1.0002189 19946 23575 1 0.0018872 -0.9335122 -0.8245480 -0.6383730 -0.2890253 0.0456403 0.2151510 0.3075957 -0.7351623 -0.2890253 0.1374939 0.0068040 0.0047778 0.0024220 0.0019911 0.0030834 0.0039279 0.0034430 0.0013345
theta[3] -0.2902277 0.2346027 18742 1.0001919 18700 22976 1 0.0017152 -0.8342449 -0.7532524 -0.5898632 -0.2909164 0.0095986 0.1701094 0.2501898 -0.6790113 -0.2909164 0.0938153 0.0065727 0.0034657 0.0030639 0.0020287 0.0024819 0.0039294 0.0052975 0.0012129
theta[2] -0.1667966 0.2268279 15463 1.0001769 15508 23522 1 0.0018209 -0.6900709 -0.6064234 -0.4565922 -0.1673330 0.1255869 0.2798354 0.3623319 -0.5366055 -0.1673330 0.2094877 0.0060767 0.0037104 0.0033094 0.0021746 0.0024491 0.0035444 0.0047380 0.0012876
theta[10] 0.0607290 0.2183773 17175 1.0001701 17315 23660 1 0.0016598 -0.4572781 -0.3629697 -0.2152113 0.0613351 0.3407427 0.4901133 0.5683743 -0.2951850 0.0613351 0.4216765 0.0049000 0.0037061 0.0024556 0.0018033 0.0025896 0.0039328 0.0051483 0.0011737
theta[7] -0.0138930 0.2943838 22870 1.0001553 22896 24911 1 0.0019460 -0.7187947 -0.5984522 -0.3932550 -0.0111818 0.3596226 0.5492304 0.6560418 -0.5045674 -0.0111818 0.4629216 0.0086462 0.0050539 0.0037414 0.0026137 0.0030843 0.0046282 0.0063150 0.0013761
theta[1] -0.1243410 0.4125452 15263 1.0000490 15364 21214 1 0.0033293 -1.0733098 -0.9252680 -0.6512927 -0.1255414 0.4070963 0.6846087 0.8363899 -0.7993860 -0.1255414 0.5560932 0.0122652 0.0067477 0.0044567 0.0035029 0.0047454 0.0052297 0.0076649 0.0023542
theta[16] 0.0309578 0.2370454 20546 1.0000324 20576 23900 1 0.0016516 -0.5322239 -0.4380486 -0.2734486 0.0332020 0.3315363 0.4896993 0.5783523 -0.3569196 0.0332020 0.4168020 0.0078788 0.0046787 0.0026146 0.0020168 0.0028453 0.0044085 0.0033794 0.0011679
theta[12] -0.0692046 0.3260613 17800 1.0000077 17865 22882 1 0.0024401 -0.8729789 -0.7283400 -0.4894159 -0.0626788 0.3422361 0.5547472 0.6737841 -0.6095812 -0.0626788 0.4554779 0.0097426 0.0069096 0.0047329 0.0031778 0.0035882 0.0064554 0.0080418 0.0017254
theta[8] -0.0655347 0.2848791 23101 0.9999017 23259 23878 1 0.0018681 -0.7411350 -0.6301378 -0.4322851 -0.0645073 0.2986465 0.4944849 0.5907606 -0.5370126 -0.0645073 0.4006100 0.0056014 0.0057072 0.0032850 0.0023039 0.0029870 0.0052915 0.0077552 0.0013209

Fix \(\phi_{1 \cap 2}\)

  • When we fix \(\phi_{1 \cap 2}\), it is important that we define the pooled prior appropriately. It is a function of \(\text{p}_{2}(\phi_{2 \cap 3})\) and \(\text{p}_{3}(\phi_{2 \cap 3})\) (not the different in \(\text{p}_{2}\) marginal from using chained melding). This also means that the interpretation of \(\lambda\) is slightly different.

\(\phi_{2 \cap 3}\)

Breakpoint \(\kappa\)
rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
breakpoint[20] 2.960669 2.1006216 1552 1.0018394 1902 1648 1 0.0533679 0.8004968 0.8917937 1.149229 2.227440 6.447950 9.028149 9.475577 1.0034751 2.227440 7.922950 0.0040599 0.0058415 0.0092832 0.0440248 0.2536333 0.1799157 0.0581690 0.0377439
breakpoint[3] 2.827808 0.6392946 7759 1.0007254 8313 5050 1 0.0072398 1.5383453 1.7097769 2.038773 2.774590 3.677506 4.206768 4.522843 1.8615951 2.774590 3.972479 0.0128556 0.0090320 0.0068588 0.0071427 0.0171149 0.0329254 0.0217069 0.0053312
breakpoint[28] 4.024492 1.1927721 17327 1.0004509 17996 19374 1 0.0090524 1.3858185 1.7096958 2.397480 4.043021 5.512852 6.035820 6.303523 2.0125962 4.043021 5.787698 0.0225492 0.0213830 0.0108915 0.0134210 0.0086954 0.0160234 0.0203409 0.0065400
breakpoint[21] 1.184703 0.1896754 4479 1.0003977 9261 4478 1 0.0028319 0.9405101 0.9700952 1.030207 1.148199 1.355849 1.724117 1.956544 0.9950042 1.148199 1.528786 0.0018670 0.0014309 0.0010000 0.0008411 0.0065050 0.0218861 0.0214003 0.0021687
breakpoint[2] 1.157450 0.2430953 4900 1.0003975 6714 4039 1 0.0034676 0.7724929 0.8219921 0.910461 1.108972 1.462188 1.748163 2.022130 0.8629559 1.108972 1.627375 0.0024645 0.0026977 0.0017324 0.0027286 0.0089796 0.0208932 0.0281981 0.0026029
breakpoint[37] 5.160094 0.6799851 22727 1.0003639 22931 23430 1 0.0045113 3.4694977 3.6944405 4.167575 5.250239 5.948856 6.229419 6.386182 3.8941707 5.250239 6.103220 0.0146769 0.0132483 0.0068692 0.0053247 0.0048629 0.0057851 0.0112381 0.0031975
breakpoint[31] 10.613120 1.8506072 20503 1.0003605 20507 20410 1 0.0129214 3.3735597 3.8032873 8.958500 11.007897 12.226300 12.725304 12.983800 6.9888726 11.007897 12.497146 0.0228660 0.0274299 0.0248379 0.0079938 0.0084302 0.0097536 0.0050532 0.0091369
breakpoint[9] 4.425020 0.2229761 17451 1.0003409 17848 14474 1 0.0016865 3.8757960 3.9626218 4.143794 4.427005 4.697452 4.832500 4.922492 4.0493890 4.427005 4.765949 0.0050526 0.0081222 0.0028296 0.0019748 0.0016756 0.0045560 0.0064425 0.0011926
breakpoint[30] 2.011389 0.3167426 12443 1.0002776 13351 12477 1 0.0028365 1.2584592 1.3439981 1.547346 2.058966 2.349260 2.596118 2.766538 1.4350562 2.058966 2.464614 0.0040542 0.0060272 0.0044702 0.0021746 0.0034649 0.0108989 0.0197758 0.0020058
breakpoint[27] 8.911643 4.7836721 11654 1.0002410 11376 13109 1 0.0443038 3.1568953 3.4389409 4.076054 7.321732 16.904161 19.042217 19.979874 3.6983923 7.321732 18.025822 0.0203364 0.0093183 0.0137226 0.0451056 0.0572925 0.0582639 0.0931114 0.0313283
breakpoint[29] 3.624071 0.3021382 15681 1.0002230 16775 12820 1 0.0024119 3.0372942 3.1189401 3.270801 3.593331 4.018692 4.317036 4.456392 3.1900725 3.593331 4.169569 0.0081508 0.0044893 0.0029868 0.0021361 0.0057662 0.0115132 0.0129977 0.0017295
breakpoint[25] 7.914846 0.5272430 15417 1.0002052 15329 13421 1 0.0042426 6.7934175 6.9302642 7.221448 7.936283 8.614519 8.912211 9.064118 7.0599053 7.936283 8.773820 0.0107802 0.0080024 0.0062042 0.0047540 0.0057802 0.0114695 0.0095317 0.0030001
breakpoint[7] 4.690149 0.2556327 18436 1.0001852 18551 16414 1 0.0018822 4.0709982 4.1821989 4.376537 4.691825 5.005258 5.193668 5.305676 4.2735223 4.691825 5.098779 0.0111766 0.0052855 0.0034533 0.0022973 0.0027958 0.0051410 0.0054796 0.0013309
breakpoint[4] 2.516866 0.4081585 15817 1.0001698 15847 14349 1 0.0032316 1.6120035 1.7248791 1.965294 2.521725 3.015417 3.339531 3.519140 1.8358464 2.521725 3.188201 0.0061601 0.0053188 0.0045495 0.0034973 0.0071407 0.0065457 0.0237309 0.0022988
breakpoint[13] 10.075068 0.4935296 21743 1.0001641 21902 20148 1 0.0033450 9.0029779 9.1730729 9.461476 10.045727 10.732510 11.098300 11.307533 9.3079836 10.045727 10.934932 0.0116745 0.0085088 0.0060243 0.0037994 0.0066151 0.0104271 0.0117047 0.0023695
breakpoint[5] 11.632007 0.4199769 23499 1.0001563 23548 22030 1 0.0027398 10.6937958 10.8352097 11.101227 11.627904 12.161938 12.484303 12.692497 10.9552420 11.627904 12.327777 0.0098058 0.0060857 0.0039338 0.0028006 0.0056074 0.0052168 0.0139162 0.0019392
breakpoint[19] 2.983787 0.3854559 18525 1.0001556 18679 20075 1 0.0028306 1.9421603 2.1084148 2.457585 3.024374 3.436986 3.640759 3.750062 2.2741142 3.024374 3.542771 0.0124535 0.0092996 0.0058788 0.0035825 0.0033069 0.0056718 0.0082706 0.0020016
breakpoint[11] 3.026602 0.6137786 20578 1.0001461 20248 20951 1 0.0042760 1.6657719 1.8870236 2.286493 2.992871 3.801186 4.410351 4.736983 2.0748938 2.992871 4.124695 0.0167974 0.0079192 0.0053641 0.0047281 0.0109336 0.0194101 0.0150878 0.0030236
breakpoint[1] 10.625924 0.2127335 17319 1.0001312 18007 14584 1 0.0016156 10.0487080 10.1774901 10.354667 10.637911 10.884381 11.014577 11.086854 10.2621384 10.637911 10.955798 0.0090974 0.0069194 0.0031851 0.0017269 0.0021309 0.0034416 0.0064197 0.0011424
breakpoint[36] 3.675142 0.4056809 14517 1.0001166 15808 13328 1 0.0033662 2.4489146 2.6497631 3.098251 3.748582 4.111869 4.265599 4.357995 2.8696610 3.748582 4.195004 0.0216314 0.0127982 0.0109723 0.0038150 0.0029630 0.0034546 0.0050643 0.0023803
breakpoint[8] 3.044505 0.5316247 20133 1.0001064 19703 19610 1 0.0037432 1.5118868 1.7969447 2.358582 3.090996 3.648120 4.008968 4.208100 2.0560932 3.090996 3.825496 0.0165333 0.0175646 0.0098820 0.0037980 0.0057772 0.0093807 0.0100415 0.0026725
breakpoint[34] 6.928268 0.9519438 15282 1.0001051 15446 14203 1 0.0076914 3.8947739 4.6645146 5.753783 7.019228 8.005889 8.509732 8.786836 5.2079912 7.019228 8.289627 0.0602257 0.0490488 0.0230454 0.0066168 0.0101816 0.0166098 0.0188234 0.0054387
breakpoint[35] 4.429036 0.2336939 24282 1.0000993 24294 24452 1 0.0014993 3.8913963 3.9829384 4.142883 4.423866 4.723457 4.907815 5.008874 4.0598330 4.423866 4.821131 0.0085685 0.0045077 0.0025917 0.0017985 0.0024087 0.0040834 0.0083726 0.0010602
breakpoint[14] 4.034588 0.0866675 22615 1.0000991 22722 21023 1 0.0005763 3.8381558 3.8703231 3.927903 4.032049 4.144685 4.213902 4.252828 3.8970663 4.032049 4.183410 0.0015877 0.0014976 0.0009775 0.0007175 0.0012326 0.0017234 0.0034849 0.0004078
breakpoint[10] 2.050435 0.2951302 22559 1.0000924 22691 23461 1 0.0019601 1.4038311 1.4872678 1.663783 2.045720 2.419787 2.641326 2.742718 1.5783793 2.045720 2.534178 0.0061979 0.0035111 0.0028213 0.0027436 0.0030837 0.0043768 0.0081214 0.0013860
breakpoint[26] 4.799159 0.2915166 16361 1.0000894 16682 13603 1 0.0022786 4.0602728 4.1928223 4.425218 4.802911 5.152541 5.345689 5.432598 4.3109423 4.802911 5.259020 0.0214992 0.0074138 0.0039463 0.0026375 0.0021137 0.0054196 0.0059689 0.0016112
breakpoint[6] 3.729397 0.6877232 7188 1.0000850 8552 4467 1 0.0081052 2.4594756 2.6053992 2.921056 3.646328 4.654812 5.346145 5.685725 2.7526077 3.646328 5.001501 0.0118318 0.0069071 0.0057443 0.0049128 0.0171289 0.0499950 0.0608517 0.0061196
breakpoint[24] 5.648503 0.2737671 12014 1.0000527 14103 9998 1 0.0024960 4.7358516 4.9939515 5.300229 5.691825 5.941502 6.058210 6.114010 5.1416789 5.691825 6.004119 0.0307806 0.0146378 0.0064547 0.0021584 0.0018606 0.0025025 0.0045919 0.0017650
breakpoint[32] 2.182101 0.1531107 22363 1.0000285 22187 22111 1 0.0010232 1.8071144 1.8913747 2.013927 2.174723 2.352238 2.549034 2.631198 1.9541717 2.174723 2.438222 0.0057079 0.0042345 0.0016308 0.0009986 0.0023608 0.0044439 0.0070254 0.0007261
breakpoint[17] 4.939566 0.0821714 23410 1.0000239 23526 22600 1 0.0005370 4.7522675 4.7816275 4.836641 4.937915 5.042518 5.104271 5.152657 4.8067294 4.937915 5.074069 0.0017325 0.0013382 0.0007416 0.0006471 0.0008723 0.0019293 0.0034575 0.0003799
breakpoint[23] 9.841370 0.2759692 19739 1.0000190 19927 16778 1 0.0019622 9.1764291 9.2934411 9.487216 9.847189 10.186985 10.377496 10.490203 9.3903404 9.847189 10.280515 0.0096623 0.0086697 0.0047320 0.0024230 0.0027717 0.0046928 0.0060765 0.0013875
breakpoint[22] 2.022674 0.5059735 18933 1.0000076 19191 20468 1 0.0036761 0.8345197 0.9947883 1.349830 2.035417 2.671241 2.956641 3.089471 1.1484967 2.035417 2.834421 0.0088094 0.0093732 0.0054386 0.0049192 0.0051751 0.0067988 0.0067836 0.0025994
breakpoint[18] 2.860646 0.1258025 22765 0.9999907 23052 21887 1 0.0008334 2.5714984 2.6225391 2.711949 2.852375 3.015036 3.133114 3.212398 2.6660694 2.852375 3.077470 0.0033277 0.0026424 0.0013013 0.0007144 0.0015971 0.0030705 0.0060917 0.0005907
breakpoint[33] 2.658169 0.1127412 21453 0.9999724 21738 18521 1 0.0007692 2.4097697 2.4484924 2.524561 2.650404 2.808139 2.906174 2.962779 2.4847978 2.650404 2.861678 0.0035727 0.0018408 0.0008860 0.0009061 0.0019174 0.0033288 0.0033504 0.0005461
breakpoint[12] 9.984621 0.3049665 24526 0.9999675 24593 23513 1 0.0019447 9.2478337 9.3710499 9.596103 9.987510 10.370216 10.581425 10.708374 9.4736797 9.987510 10.478410 0.0079912 0.0046347 0.0042394 0.0024203 0.0040334 0.0046159 0.0092698 0.0013751
breakpoint[16] 3.611527 0.1563621 22011 0.9999662 22082 20890 1 0.0010516 3.2523994 3.3066497 3.407670 3.614427 3.807211 3.918796 3.982067 3.3533381 3.614427 3.868656 0.0037693 0.0022881 0.0016468 0.0011068 0.0019892 0.0026407 0.0060270 0.0007469
breakpoint[15] 4.748118 0.2809883 20539 0.9999066 20726 17847 1 0.0019599 4.1192463 4.2188864 4.398546 4.735977 5.117098 5.323731 5.425718 4.2964237 4.735977 5.221358 0.0060613 0.0034022 0.0028837 0.0026046 0.0040766 0.0045043 0.0067680 0.0013926
Slope before \(\eta_{1, i}^{b}\)
rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
eta_slope[20,1] 2.4955440 0.6517660 2370 1.0017029 1691 1218 1 0.0134250 0.6016642 0.8901512 1.5464881 2.6457079 3.214982 3.281539 3.323060 1.1725997 2.6457079 3.254481 0.0233680 0.0169876 0.0199826 0.0145211 0.0071900 0.0100934 0.0122546 0.0104039
eta_slope[28,1] 5.9321933 0.2992135 17289 1.0004624 14843 13116 1 0.0022748 4.7939984 5.1541764 5.5885949 6.0104871 6.186613 6.257318 6.305248 5.3804058 6.0104871 6.225585 0.0313898 0.0141352 0.0067256 0.0022358 0.0016912 0.0024249 0.0043426 0.0016290
eta_slope[2,1] 0.8457348 0.3202195 7789 1.0004321 7578 4303 1 0.0036222 0.1440355 0.2144365 0.4143655 0.8510973 1.261612 1.440274 1.526352 0.2972950 0.8510973 1.367249 0.0047110 0.0037946 0.0037966 0.0043103 0.0054784 0.0077302 0.0090550 0.0028132
eta_slope[3,1] 3.0953531 0.4954141 11489 1.0004055 9680 7495 1 0.0046272 1.6179433 1.8992540 2.4374778 3.1741701 3.654472 3.833314 3.902796 2.1710860 3.1741701 3.758904 0.0220055 0.0136518 0.0073556 0.0061248 0.0059706 0.0076016 0.0084736 0.0034217
eta_slope[19,1] 1.7314101 0.3922631 19308 1.0004036 18344 15585 1 0.0028222 0.5864437 0.8104470 1.2041594 1.7826484 2.189686 2.349998 2.451784 0.9938282 1.7826484 2.276453 0.0095897 0.0096601 0.0066633 0.0035830 0.0042182 0.0037461 0.0050781 0.0020454
eta_slope[33,1] 5.4518182 0.2237568 21308 1.0003764 21399 18596 1 0.0015315 4.9188639 5.0037453 5.1655234 5.4550075 5.732663 5.898618 5.991994 5.0812391 5.4550075 5.816563 0.0063097 0.0048956 0.0027013 0.0014575 0.0024733 0.0046347 0.0039117 0.0010829
eta_slope[36,1] 7.4332900 0.4741720 16108 1.0003423 17219 14477 1 0.0037363 5.7771304 6.2296750 6.8323134 7.5146970 7.927811 8.119710 8.217872 6.5374189 7.5146970 8.029768 0.0432704 0.0191932 0.0165901 0.0037313 0.0023422 0.0065634 0.0084222 0.0026420
eta_slope[25,1] 4.3519621 0.0667822 17177 1.0003154 17251 15640 1 0.0005088 4.1980188 4.2225433 4.2668897 4.3510083 4.438577 4.483591 4.504584 4.2437367 4.3510083 4.463476 0.0013413 0.0015467 0.0007606 0.0005740 0.0010091 0.0013773 0.0015404 0.0003601
eta_slope[34,1] 4.4526319 0.0783953 15749 1.0002676 15817 14552 1 0.0006236 4.2479891 4.2836971 4.3544028 4.4565235 4.544387 4.592230 4.625115 4.3195754 4.4565235 4.568296 0.0043635 0.0023188 0.0013687 0.0006678 0.0008115 0.0016527 0.0023527 0.0004410
eta_slope[21,1] 5.6780507 0.6082319 7580 1.0002383 10274 4779 1 0.0069793 3.7076501 4.0547209 4.9069267 5.7679922 6.338847 6.644122 6.812035 4.4816250 5.7679922 6.502941 0.1157655 0.0516562 0.0210849 0.0053610 0.0054706 0.0085207 0.0132472 0.0049353
eta_slope[35,1] 3.3475698 0.0594852 24119 1.0001817 24119 24033 1 0.0003830 3.2034191 3.2259443 3.2718930 3.3486444 3.421266 3.463310 3.486011 3.2486895 3.3486444 3.443674 0.0014978 0.0011185 0.0006317 0.0005246 0.0006511 0.0008694 0.0015452 0.0002708
eta_slope[31,1] 4.5388935 0.2463926 20552 1.0001679 20406 20259 1 0.0017176 3.2560016 3.5881287 4.4512994 4.5923084 4.677534 4.717164 4.737510 4.3129604 4.5923084 4.698860 0.0220820 0.0181991 0.0019698 0.0006169 0.0005955 0.0009673 0.0011704 0.0012167
eta_slope[4,1] 2.0962010 0.4182304 16528 1.0001614 16037 15603 1 0.0032458 0.8928088 1.1353029 1.5358010 2.1401456 2.583776 2.796446 2.906384 1.3367428 2.1401456 2.697733 0.0136081 0.0119925 0.0063925 0.0041509 0.0055221 0.0051062 0.0124552 0.0023363
eta_slope[32,1] 4.6813683 0.2158850 23082 1.0001613 23067 22665 1 0.0014205 4.1259335 4.2358124 4.4230413 4.6816334 4.934240 5.106745 5.225531 4.3256252 4.6816334 5.024992 0.0052589 0.0050260 0.0033763 0.0016199 0.0025589 0.0042018 0.0074420 0.0010044
eta_slope[26,1] 2.9465674 0.0655120 17534 1.0001540 17541 16375 1 0.0004941 2.7828643 2.8119867 2.8651951 2.9472699 3.028629 3.073696 3.101769 2.8401204 2.9472699 3.053242 0.0017795 0.0016534 0.0006853 0.0005751 0.0011152 0.0012028 0.0020348 0.0003496
eta_slope[24,1] 4.8462112 0.1242278 14325 1.0001427 15536 12272 1 0.0010378 4.4793164 4.5687402 4.6919068 4.8550601 4.991684 5.065098 5.105155 4.6331451 4.8550601 5.029980 0.0107684 0.0065502 0.0023150 0.0013378 0.0012695 0.0017180 0.0029409 0.0007339
eta_slope[27,1] 2.1036418 0.2454928 10227 1.0001425 10225 9624 1 0.0024242 1.3892432 1.5186731 1.7529560 2.1504922 2.372489 2.404245 2.419196 1.6192421 2.1504922 2.391688 0.0096966 0.0060334 0.0046822 0.0028543 0.0005829 0.0014700 0.0023835 0.0017329
eta_slope[22,1] 4.2915834 0.5940054 18653 1.0000983 17379 16432 1 0.0043488 2.1645211 2.7839769 3.5912873 4.3967312 4.878540 5.131820 5.274838 3.1833323 4.3967312 5.012025 0.0368952 0.0307538 0.0104201 0.0046749 0.0041969 0.0083956 0.0085809 0.0031361
eta_slope[13,1] 2.8522877 0.0361505 21959 1.0000976 22213 20594 1 0.0002431 2.7617168 2.7774878 2.8053536 2.8536643 2.897006 2.920898 2.933501 2.7914502 2.8536643 2.908861 0.0010317 0.0007731 0.0005340 0.0003061 0.0003235 0.0007226 0.0007957 0.0001719
eta_slope[6,1] 4.6992489 0.2773427 10738 1.0000948 9649 5202 1 0.0026749 4.1764102 4.2238792 4.3611567 4.6754857 5.064363 5.303244 5.439068 4.2871225 4.6754857 5.190967 0.0046130 0.0086563 0.0041366 0.0035282 0.0043264 0.0059437 0.0085637 0.0018915
eta_slope[12,1] 4.3368342 0.0510465 23891 1.0000793 23932 23097 1 0.0003300 4.2169660 4.2378861 4.2727017 4.3362064 4.402257 4.439629 4.459393 4.2539826 4.3362064 4.421781 0.0013486 0.0009796 0.0003848 0.0004259 0.0005938 0.0010570 0.0008766 0.0002334
eta_slope[14,1] 5.7767354 0.1072903 22506 1.0000751 22619 21717 1 0.0007151 5.5083196 5.5574694 5.6354837 5.7800231 5.911227 5.978698 6.017271 5.5953990 5.7800231 5.946203 0.0040028 0.0016454 0.0011480 0.0006591 0.0009660 0.0013641 0.0019921 0.0005056
eta_slope[7,1] 4.0000668 0.2496687 20628 1.0000662 20682 19488 1 0.0017388 3.3877530 3.4930289 3.6871237 4.0019964 4.308979 4.483953 4.594500 3.5867351 4.0019964 4.404937 0.0063844 0.0047017 0.0028081 0.0022506 0.0026560 0.0045776 0.0078339 0.0012295
eta_slope[29,1] 6.3487053 0.2739351 18062 1.0000611 18837 15360 1 0.0020377 5.5954093 5.7517213 5.9913968 6.3703752 6.681156 6.822797 6.912903 5.8655032 6.3703752 6.754204 0.0133507 0.0104365 0.0045480 0.0021278 0.0019210 0.0044311 0.0057495 0.0014409
eta_slope[17,1] 3.9122581 0.0494906 23864 1.0000559 24029 22857 1 0.0003203 3.7794448 3.8063706 3.8486312 3.9147264 3.972591 4.003195 4.019161 3.8277430 3.9147264 3.988008 0.0018827 0.0013871 0.0008295 0.0003284 0.0003554 0.0008451 0.0012280 0.0002265
eta_slope[30,1] 4.8470522 0.5627604 12675 1.0000500 13421 11877 1 0.0049944 3.7722329 3.9579756 4.2499745 4.7508585 5.622580 6.260569 6.611019 4.0972077 4.7508585 5.938363 0.0176024 0.0111675 0.0062444 0.0046726 0.0158508 0.0268093 0.0280060 0.0035481
eta_slope[10,1] 6.3174587 0.4018084 21240 1.0000427 21048 21435 1 0.0027549 5.4536057 5.5919503 5.8363905 6.2888243 6.844027 7.183124 7.376730 5.7048750 6.2888243 7.020599 0.0056618 0.0059817 0.0041243 0.0034371 0.0048482 0.0086660 0.0118881 0.0019480
eta_slope[8,1] 3.6981734 0.1834329 20718 1.0000398 20440 19458 1 0.0012740 3.2377676 3.3468491 3.4854222 3.6976413 3.912342 4.065489 4.169325 3.4123279 3.6976413 3.985884 0.0081600 0.0044332 0.0020810 0.0014050 0.0027546 0.0066241 0.0048336 0.0009009
eta_slope[11,1] 1.1727581 0.1389231 20118 1.0000338 19929 18686 1 0.0009783 0.8080903 0.8824304 0.9981658 1.1774017 1.340753 1.422152 1.470232 0.9411445 1.1774017 1.386092 0.0063178 0.0029254 0.0015636 0.0012836 0.0016067 0.0028727 0.0048482 0.0006937
eta_slope[15,1] 5.2405246 0.1419431 19616 1.0000283 19853 17484 1 0.0010128 4.8970934 4.9474924 5.0548583 5.2459186 5.416498 5.508323 5.550944 4.9965542 5.2459186 5.464106 0.0058214 0.0032009 0.0023088 0.0014628 0.0014003 0.0022878 0.0035167 0.0007162
eta_slope[1,1] 2.8989044 0.0453843 20177 1.0000191 20260 18930 1 0.0003192 2.7911833 2.8095556 2.8416550 2.8986768 2.956032 2.988279 3.011733 2.8245329 2.8986768 2.974221 0.0010282 0.0010580 0.0005445 0.0004247 0.0006012 0.0008831 0.0020303 0.0002259
eta_slope[9,1] 1.8813841 0.0978085 19322 1.0000082 19632 18114 1 0.0007033 1.6143608 1.6688860 1.7563048 1.8883357 1.998711 2.053598 2.084006 1.7126692 1.8883357 2.029694 0.0039256 0.0032895 0.0014896 0.0008513 0.0010515 0.0009427 0.0022715 0.0004973
eta_slope[5,1] 2.6758521 0.0249041 22585 0.9999974 22677 22871 1 0.0001656 2.6148698 2.6262552 2.6432606 2.6763982 2.707445 2.723546 2.732229 2.6341518 2.6763982 2.715984 0.0008017 0.0004021 0.0004030 0.0002338 0.0003104 0.0006032 0.0006408 0.0001171
eta_slope[37,1] 3.3779299 0.1335599 21792 0.9999896 21568 21641 1 0.0009052 3.0940981 3.1365379 3.2187517 3.3683237 3.553358 3.671289 3.740191 3.1740941 3.3683237 3.616468 0.0025641 0.0022212 0.0014186 0.0011478 0.0017754 0.0016018 0.0051941 0.0006401
eta_slope[16,1] 3.2981447 0.3741513 22031 0.9999893 21407 20841 1 0.0025174 2.3072515 2.4844677 2.8173968 3.3221744 3.754692 3.964633 4.067185 2.6386316 3.3221744 3.863869 0.0088412 0.0084797 0.0040748 0.0034418 0.0036128 0.0053648 0.0098872 0.0018060
eta_slope[18,1] 2.9692239 0.0723843 23796 0.9999430 23784 22654 1 0.0004693 2.7856124 2.8231576 2.8789104 2.9696697 3.058536 3.110301 3.140627 2.8504830 2.9696697 3.085328 0.0018123 0.0015148 0.0007352 0.0004652 0.0006732 0.0012745 0.0013615 0.0003318
eta_slope[23,1] 2.7465157 0.0289346 21171 0.9999378 21150 19657 1 0.0001988 2.6774548 2.6881251 2.7095589 2.7470572 2.782941 2.802913 2.812816 2.6982918 2.7470572 2.792863 0.0006526 0.0005288 0.0003095 0.0002750 0.0003480 0.0005746 0.0004566 0.0001406
Slope after \(\eta_{1, i}^{a}\)
rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
eta_slope[20,2] 3.3381907 0.0905401 1659 1.0016102 2109 1249 1 0.0022221 2.9943371 3.1053361 3.2280611 3.3557165 3.4254484 3.4611369 3.4844375 3.1622771 3.3557165 3.4434351 0.0282553 0.0079726 0.0051401 0.0014706 0.0018199 0.0026437 0.0052960 0.0015715
eta_slope[21,2] 2.5728744 0.1031270 9058 1.0007203 11054 8574 1 0.0010820 2.2893708 2.3635690 2.4534918 2.5747541 2.6899207 2.7728546 2.8318697 2.4081636 2.5747541 2.7331829 0.0121808 0.0060256 0.0018689 0.0008963 0.0018611 0.0028984 0.0079276 0.0007664
eta_slope[6,2] 3.6667226 0.0150299 11040 1.0005423 11447 7245 1 0.0001430 3.6300788 3.6358957 3.6476946 3.6670808 3.6855505 3.6953284 3.7011232 3.6416257 3.6670808 3.6908215 0.0007703 0.0006585 0.0002917 0.0001666 0.0002464 0.0003566 0.0001871 0.0001011
eta_slope[9,2] 4.2956161 0.2636299 17389 1.0004695 17214 14357 1 0.0020005 3.7005301 3.7958822 3.9742266 4.2858516 4.6317851 4.8400967 4.9686307 3.8824893 4.2858516 4.7429183 0.0062055 0.0064315 0.0033261 0.0026589 0.0038761 0.0046501 0.0064721 0.0014146
eta_slope[3,2] 4.9580736 0.1116824 10078 1.0004551 10640 8232 1 0.0011118 4.7167576 4.7534270 4.8223307 4.9527671 5.1017090 5.1972639 5.2519562 4.7851998 4.9527671 5.1488557 0.0024928 0.0018627 0.0013708 0.0011488 0.0019599 0.0042722 0.0046664 0.0007906
eta_slope[2,2] 2.6538220 0.0887391 6968 1.0004230 9128 5329 1 0.0010597 2.4814915 2.5138892 2.5635841 2.6436068 2.7514658 2.8642266 2.9717739 2.5380076 2.6436068 2.7987406 0.0029020 0.0026742 0.0009155 0.0007993 0.0024843 0.0090396 0.0154311 0.0007633
eta_slope[28,2] 5.8665272 0.3265299 15413 1.0003292 14909 15067 1 0.0026298 4.8903269 5.1071739 5.4354254 5.9260477 6.2168715 6.3544260 6.4253300 5.2671234 5.9260477 6.2915506 0.0271832 0.0093991 0.0056893 0.0038332 0.0023043 0.0035995 0.0050156 0.0018635
eta_slope[34,2] 5.0026593 0.2354513 16669 1.0003250 15954 13999 1 0.0018214 4.5469781 4.6033054 4.7313970 4.9796679 5.3007228 5.5292610 5.6808200 4.6573455 4.9796679 5.4120707 0.0043991 0.0044683 0.0022150 0.0022632 0.0035593 0.0083118 0.0092218 0.0012880
eta_slope[27,2] 2.3333570 0.0764058 12720 1.0002554 9121 6906 1 0.0006771 2.1321343 2.1655711 2.2299066 2.3530265 2.3883689 2.4054099 2.4134136 2.1932926 2.3530265 2.3970699 0.0030975 0.0025266 0.0012041 0.0004323 0.0005652 0.0007273 0.0010425 0.0004788
eta_slope[5,2] 2.0137825 0.0192802 23909 1.0002312 23961 23460 1 0.0001247 1.9656378 1.9749352 1.9893660 2.0143388 2.0383403 2.0505899 2.0571828 1.9818770 2.0143388 2.0445796 0.0005187 0.0003190 0.0002545 0.0001513 0.0001895 0.0003142 0.0003728 0.0000882
eta_slope[7,2] 8.4051574 0.5247163 19441 1.0002169 19197 16021 1 0.0037603 7.2351751 7.4303752 7.7660489 8.3839534 9.0729972 9.5072801 9.7660781 7.5846567 8.3839534 9.2975408 0.0217762 0.0091573 0.0070574 0.0040314 0.0071334 0.0089644 0.0225774 0.0026590
eta_slope[4,2] 4.0707429 0.2048739 17806 1.0002083 17929 15885 1 0.0015344 3.6180432 3.6945442 3.8257382 4.0610177 4.3269429 4.5043965 4.6085607 3.7570747 4.0610177 4.4234135 0.0054189 0.0035237 0.0018181 0.0024126 0.0027081 0.0068396 0.0107728 0.0010867
eta_slope[19,2] 5.3366436 0.5623807 15850 1.0001796 15636 12901 1 0.0044623 4.0772747 4.2819315 4.6398308 5.3208729 6.0543960 6.4858068 6.7905467 4.4614076 5.3208729 6.2794184 0.0124346 0.0132340 0.0071039 0.0052352 0.0082681 0.0159092 0.0228760 0.0031553
eta_slope[33,2] 1.3235779 0.0949418 22643 1.0001773 22715 22051 1 0.0006303 1.0813156 1.1298856 1.2048345 1.3257494 1.4408716 1.5058573 1.5477463 1.1645557 1.3257494 1.4750723 0.0025709 0.0021090 0.0009400 0.0008003 0.0008425 0.0014932 0.0022229 0.0004459
eta_slope[12,2] 2.6630223 0.0724872 24536 1.0001723 24514 24281 1 0.0004626 2.4867347 2.5167633 2.5705290 2.6636311 2.7544610 2.8025220 2.8262077 2.5421182 2.6636311 2.7800875 0.0017669 0.0014527 0.0009700 0.0006245 0.0008137 0.0013791 0.0013937 0.0003273
eta_slope[37,2] 1.9962192 0.2724492 22294 1.0001711 22163 20714 1 0.0018243 1.2973936 1.4171582 1.6357203 2.0132283 2.3345729 2.4672971 2.5234564 1.5319575 2.0132283 2.4073555 0.0112706 0.0049002 0.0029784 0.0029088 0.0030228 0.0025995 0.0032203 0.0012953
eta_slope[35,2] 2.4800614 0.0745743 23832 1.0001443 23817 23482 1 0.0004827 2.2954526 2.3278739 2.3850936 2.4813744 2.5726320 2.6229427 2.6500128 2.3548182 2.4813744 2.5976891 0.0017890 0.0011024 0.0010029 0.0005040 0.0007255 0.0016674 0.0016228 0.0003415
eta_slope[25,2] 2.4374482 0.3707344 16817 1.0001363 16043 13886 1 0.0028560 1.3479171 1.5616226 1.9347275 2.4902329 2.8598626 2.9995956 3.0750826 1.7497074 2.4902329 2.9406191 0.0148804 0.0117654 0.0067130 0.0035228 0.0043300 0.0036854 0.0067863 0.0020447
eta_slope[30,2] 1.7613682 0.2719457 15377 1.0001353 15128 11362 1 0.0021904 1.0644684 1.2002175 1.4213999 1.7683777 2.1023466 2.2600469 2.3337328 1.3118664 1.7683777 2.1941533 0.0126281 0.0061122 0.0036757 0.0023721 0.0028587 0.0039470 0.0060723 0.0015796
eta_slope[1,2] 0.4525656 0.1589454 17133 1.0001291 17365 15138 1 0.0012137 0.1065881 0.1544677 0.2486328 0.4486414 0.6576864 0.7757689 0.8339759 0.1995153 0.4486414 0.7253753 0.0020925 0.0017083 0.0015378 0.0014529 0.0026705 0.0034046 0.0056452 0.0008843
eta_slope[14,2] 1.8127962 0.0330736 23281 1.0001193 23345 21705 1 0.0002165 1.7335836 1.7470225 1.7704945 1.8130715 1.8540554 1.8769539 1.8892636 1.7578072 1.8130715 1.8663816 0.0009089 0.0005219 0.0003261 0.0002615 0.0004051 0.0006211 0.0011554 0.0001531
eta_slope[31,2] 5.4378750 0.1230603 20053 1.0001174 20045 20380 1 0.0008688 5.1248830 5.1638072 5.2828515 5.4431959 5.5898709 5.6700049 5.7158108 5.2117183 5.4431959 5.6338665 0.0022609 0.0020504 0.0020093 0.0010141 0.0013498 0.0026745 0.0029471 0.0006144
eta_slope[8,2] 4.1807292 0.2353899 19876 1.0001164 19590 17623 1 0.0016689 3.6553929 3.7495948 3.8970703 4.1774533 4.4713677 4.6556059 4.7742565 3.8194112 4.1774533 4.5678494 0.0115210 0.0041687 0.0026376 0.0017595 0.0027761 0.0064043 0.0100261 0.0011801
eta_slope[29,2] 2.5129867 0.3258838 16504 1.0001017 17346 13425 1 0.0025359 1.6059556 1.7770357 2.1022364 2.5381143 2.8940032 3.0869749 3.2055110 1.9443004 2.5381143 2.9936016 0.0189166 0.0119652 0.0047747 0.0023495 0.0036406 0.0048998 0.0088958 0.0017932
eta_slope[24,2] 8.4550027 0.5479059 14961 1.0000955 15176 10842 1 0.0044760 7.1565512 7.3349504 7.7516729 8.4701303 9.1324979 9.5184020 9.7406705 7.5219324 8.4701303 9.3223641 0.0088882 0.0136157 0.0081302 0.0044614 0.0055731 0.0140811 0.0145347 0.0031651
eta_slope[17,2] 1.2743173 0.0367178 23884 1.0000747 23905 22718 1 0.0002376 1.1869958 1.2021549 1.2271181 1.2746970 1.3208492 1.3449831 1.3621404 1.2136896 1.2746970 1.3335041 0.0006824 0.0007020 0.0003946 0.0002363 0.0003633 0.0005639 0.0009789 0.0001680
eta_slope[11,2] 1.4867599 0.1283935 18449 1.0000634 18290 17882 1 0.0009447 1.1391858 1.2377955 1.3439070 1.4871448 1.6348906 1.7380862 1.8094778 1.2947231 1.4871448 1.6869470 0.0096793 0.0039601 0.0012425 0.0010727 0.0018128 0.0031543 0.0056148 0.0006696
eta_slope[32,2] 2.0811480 0.3094994 21765 1.0000523 21849 20373 1 0.0020962 1.1662140 1.3890932 1.7130318 2.1001678 2.4339221 2.6518421 2.8011546 1.5542218 2.1001678 2.5425723 0.0141658 0.0145687 0.0045964 0.0019460 0.0030798 0.0070005 0.0075733 0.0014823
eta_slope[16,2] 11.2814846 0.1388521 22370 1.0000406 22435 21874 1 0.0009270 10.9590392 11.0092205 11.1066139 11.2799613 11.4559941 11.5604948 11.6157471 11.0569938 11.2799613 11.5114450 0.0022601 0.0037642 0.0016845 0.0009565 0.0017176 0.0031344 0.0038141 0.0006555
eta_slope[26,2] 1.4441411 0.2665654 17861 1.0000269 17325 14437 1 0.0019940 0.7155932 0.8555699 1.1004223 1.4625768 1.7644724 1.9102903 2.0060606 0.9756805 1.4625768 1.8418569 0.0108097 0.0056726 0.0035088 0.0021223 0.0034834 0.0057990 0.0102829 0.0014421
eta_slope[10,2] 3.3182812 0.4924676 23093 1.0000254 22778 22181 1 0.0032404 1.8249388 2.1779016 2.6869453 3.3760742 3.8705034 4.1215504 4.2758554 2.4238486 3.3760742 4.0079100 0.0189742 0.0135477 0.0063106 0.0048376 0.0042909 0.0081144 0.0159903 0.0023034
eta_slope[13,2] 1.8066503 0.0591673 22065 1.0000069 22224 21293 1 0.0003981 1.6510291 1.6791008 1.7303025 1.8105744 1.8784588 1.9121388 1.9324697 1.7047939 1.8105744 1.8965818 0.0015069 0.0011811 0.0006236 0.0004650 0.0004765 0.0008562 0.0015398 0.0002815
eta_slope[15,2] 2.5917249 0.1196474 22149 0.9999997 22227 20133 1 0.0008038 2.2910586 2.3429266 2.4396032 2.5966557 2.7396633 2.8192164 2.8621759 2.3896195 2.5966557 2.7809200 0.0046543 0.0031397 0.0017632 0.0010959 0.0013271 0.0021284 0.0023354 0.0005684
eta_slope[36,2] 11.9800652 0.4909978 14411 0.9999805 14524 11796 1 0.0040966 10.7918301 10.9741459 11.3318260 11.9964764 12.5919408 12.9261729 13.0945595 11.1411879 11.9964764 12.7794432 0.0195069 0.0136621 0.0074966 0.0042138 0.0048433 0.0084781 0.0074329 0.0028968
eta_slope[22,2] 4.3680924 0.6968391 17953 0.9999685 17369 17866 1 0.0051988 2.4479201 2.9240726 3.5986016 4.3815796 5.1299186 5.7740402 6.2440304 3.2656582 4.3815796 5.4492734 0.0329798 0.0144781 0.0115155 0.0065130 0.0115312 0.0218701 0.0731895 0.0036762
eta_slope[23,2] 1.5847354 0.1330007 20851 0.9999613 20540 17535 1 0.0009206 1.2408718 1.3054342 1.4149310 1.5895394 1.7477209 1.8305609 1.8744825 1.3590879 1.5895394 1.7925934 0.0029150 0.0017467 0.0015603 0.0010904 0.0012278 0.0024632 0.0050130 0.0006570
eta_slope[18,2] 1.8531047 0.0541653 24027 0.9999547 24031 23787 1 0.0003494 1.7174667 1.7421460 1.7854788 1.8541050 1.9193020 1.9562899 1.9791974 1.7634948 1.8541050 1.9389961 0.0021740 0.0012610 0.0005258 0.0005432 0.0007321 0.0009461 0.0016948 0.0002471

\(\psi_{2}\)

rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
theta[11] -0.0398705 0.2466214 24349 1.0003375 24360 24801 1 0.0015804 -0.6244751 -0.5300621 -0.3617943 -0.0338383 0.2721239 0.4290057 0.5130862 -0.4517643 -0.0338383 0.3575384 0.0059693 0.0038175 0.0029892 0.0018742 0.0025393 0.0040680 0.0085716 0.0011175
theta[17] 0.2216186 0.2195373 24664 1.0002112 24722 23298 1 0.0013963 -0.2948330 -0.2117790 -0.0596753 0.2206540 0.5036429 0.6515894 0.7310311 -0.1407172 0.2206540 0.5801688 0.0034322 0.0040531 0.0022397 0.0018318 0.0024694 0.0041525 0.0065994 0.0009977
theta[16] 0.0141270 0.2148171 23236 1.0001979 23209 25031 1 0.0014095 -0.4933715 -0.4096626 -0.2612829 0.0151759 0.2890300 0.4328208 0.5126651 -0.3393414 0.0151759 0.3656862 0.0049038 0.0041938 0.0028310 0.0018115 0.0026424 0.0049780 0.0053598 0.0009967
theta[7] 0.0652323 0.2833324 24642 1.0001614 24690 24577 1 0.0018026 -0.6134174 -0.4997860 -0.2962773 0.0665918 0.4271079 0.6097646 0.7086077 -0.4083610 0.0665918 0.5266696 0.0098663 0.0042585 0.0024375 0.0021577 0.0033502 0.0036117 0.0055433 0.0012848
theta[4] -0.0569869 0.2602400 24545 1.0001445 24565 24474 1 0.0016608 -0.6738351 -0.5791564 -0.3913635 -0.0558661 0.2727656 0.4460287 0.5411706 -0.4895459 -0.0558661 0.3667654 0.0067793 0.0049897 0.0028258 0.0021636 0.0023887 0.0042763 0.0070498 0.0011744
theta[5] 0.2507441 0.2612155 23977 1.0001362 24082 24531 1 0.0016842 -0.3544019 -0.2616128 -0.0858070 0.2528855 0.5823293 0.7624751 0.8513055 -0.1785568 0.2528855 0.6787839 0.0071528 0.0035469 0.0025154 0.0023165 0.0030602 0.0043873 0.0063459 0.0011909
theta[1] -0.4840606 0.3800855 23475 1.0001304 23514 23913 1 0.0024795 -1.3750893 -1.2407391 -0.9747807 -0.4809134 0.0045969 0.2512978 0.3878098 -1.1167850 -0.4809134 0.1412491 0.0078974 0.0069555 0.0042201 0.0032448 0.0035377 0.0060476 0.0110731 0.0017533
theta[15] -0.2098590 0.2863602 25198 1.0001168 25210 24695 1 0.0018038 -0.8973563 -0.7832946 -0.5781956 -0.2066214 0.1540507 0.3417219 0.4440633 -0.6842956 -0.2066214 0.2547604 0.0089367 0.0060819 0.0030946 0.0024040 0.0029249 0.0054363 0.0070568 0.0012772
hazard_gamma 0.7661104 0.1163038 24216 1.0000703 24231 24407 1 0.0007470 0.5155899 0.5511937 0.6205376 0.7623186 0.9180529 1.0045749 1.0566112 0.5830499 0.7623186 0.9646347 0.0023960 0.0015282 0.0011799 0.0010527 0.0015624 0.0017753 0.0023121 0.0005282
theta[14] 0.0466665 0.2647388 24618 1.0000468 24680 23760 1 0.0016853 -0.5740768 -0.4851871 -0.2941428 0.0503346 0.3859467 0.5552038 0.6536917 -0.3976355 0.0503346 0.4771401 0.0056381 0.0035397 0.0032695 0.0023737 0.0027232 0.0041888 0.0072742 0.0011936
theta[10] -0.0622569 0.1995527 24523 1.0000460 24529 24528 1 0.0012741 -0.5263429 -0.4514212 -0.3176856 -0.0621632 0.1917788 0.3262491 0.3983400 -0.3891970 -0.0621632 0.2626079 0.0048203 0.0035038 0.0024682 0.0015269 0.0020367 0.0036761 0.0053100 0.0009009
theta[18] -0.3235772 0.2256107 24402 1.0000355 24436 24418 1 0.0014436 -0.8614727 -0.7684601 -0.6147946 -0.3221660 -0.0334996 0.1101705 0.1877901 -0.6949927 -0.3221660 0.0447062 0.0060378 0.0042483 0.0025499 0.0017452 0.0020619 0.0032459 0.0045094 0.0010208
theta[2] -0.1251371 0.2020564 23725 1.0000254 23787 24341 1 0.0013106 -0.6015460 -0.5218487 -0.3814799 -0.1253247 0.1344877 0.2725683 0.3427146 -0.4598311 -0.1253247 0.2086539 0.0045722 0.0030205 0.0020527 0.0016307 0.0021960 0.0032029 0.0042933 0.0009406
theta[9] -0.2273812 0.2420755 24440 1.0000206 24452 24260 1 0.0015479 -0.8107311 -0.7090102 -0.5407732 -0.2232010 0.0791010 0.2356567 0.3229356 -0.6347092 -0.2232010 0.1636310 0.0098555 0.0042858 0.0030292 0.0020234 0.0023298 0.0043035 0.0065825 0.0010946
theta[3] -0.1917367 0.2157056 25062 1.0000185 25064 23761 1 0.0013625 -0.6912913 -0.6086998 -0.4670662 -0.1907168 0.0853086 0.2369770 0.3171119 -0.5443392 -0.1907168 0.1638950 0.0050232 0.0032495 0.0022872 0.0016593 0.0029341 0.0043785 0.0045632 0.0009735
theta[13] -0.0002600 0.2855668 24648 1.0000175 24671 24267 1 0.0018179 -0.6855659 -0.5701324 -0.3658700 0.0018600 0.3631805 0.5500211 0.6575002 -0.4706210 0.0018600 0.4654927 0.0084024 0.0057145 0.0031510 0.0022212 0.0034578 0.0047826 0.0072288 0.0012855
theta[12] -0.0124453 0.2960327 24912 1.0000148 24921 24905 1 0.0018752 -0.7149100 -0.5959727 -0.3908667 -0.0107551 0.3678886 0.5651220 0.6654013 -0.4947936 -0.0107551 0.4737377 0.0074031 0.0060998 0.0030385 0.0020733 0.0029101 0.0063240 0.0073430 0.0013265
theta[8] -0.1366115 0.2785229 24614 1.0000084 24630 23225 1 0.0017749 -0.7879577 -0.6837601 -0.4953528 -0.1366676 0.2168564 0.4105342 0.5088427 -0.5980357 -0.1366676 0.3166022 0.0049808 0.0047861 0.0036295 0.0024001 0.0028476 0.0040600 0.0077447 0.0012648
theta[6] 0.1372452 0.2031604 23835 0.9999593 23856 24652 1 0.0013154 -0.3408498 -0.2670965 -0.1230168 0.1389503 0.3982862 0.5310629 0.6051631 -0.1984126 0.1389503 0.4690109 0.0039821 0.0036921 0.0022327 0.0018085 0.0020764 0.0039732 0.0037117 0.0009301
alpha -0.3578967 0.1079994 22794 0.9999289 22843 24131 1 0.0007148 -0.6217358 -0.5778366 -0.4984899 -0.3547761 -0.2208570 -0.1561832 -0.1257575 -0.5403164 -0.3547761 -0.1854518 0.0024616 0.0020892 0.0012015 0.0009782 0.0010993 0.0013054 0.0016405 0.0005055

Fix \(\phi_{2 \cap 3}\)

  • These revert to looking okay, suggesting that the issues are driven by problems with \(\phi_{2 \cap 3}\), or interactions between it and the prior?
  • Doing this properly required estimating \(\widehat{\text{p}}_{2}(\phi_{1 \cap 2})\), which I’ve done. This also means I don’t have an excuse to not do linear pooling as well now. So I probably should.

\(\phi_{1 \cap 2}\)

Event times \(T_{i}\)
rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
event_time[24] 6.450221 1.6816236 350 1.0191524 365 24995 1 0.0897612 2.4027009 2.7468410 3.556034 7.510231 7.510231 7.510231 7.510231 3.0683661 7.510231 7.510231 0.0287212 0.0290616 0.0819887 NA NA NA NA 0.0656216
event_time[19] 4.609483 0.4628763 386 1.0054463 963 24995 1 0.0243788 2.8609406 3.5084549 4.298228 4.601520 4.858688 5.950880 5.950880 4.1185867 4.601520 5.950880 0.0193353 0.1140727 0.0054464 0.0036782 0.0338448 NA NA 0.0191345
event_time[30] 1.871006 0.6914539 215 1.0052495 727 190 1 0.0472902 0.7877398 0.9383366 1.263810 1.791386 2.213485 4.694954 4.694954 1.0801042 1.791386 2.470767 0.0131352 0.0050514 0.0079286 0.0100720 0.0258263 NA NA 0.0371705
event_time[28] 4.273178 0.7649830 324 1.0041763 1498 333 1 0.0421110 3.5672311 3.6556782 3.813547 4.115433 4.524657 7.588843 7.588843 3.7319385 4.115433 5.184600 0.0043315 0.0034936 0.0024720 0.0045011 0.0402281 NA NA 0.0308877
event_time[34] 10.252373 0.9973888 1749 1.0030515 1757 24995 1 0.0238677 9.7709370 10.3526157 10.352616 10.352616 10.352616 10.352616 10.352616 10.3526157 10.352616 10.352616 4.9661339 NA NA NA NA NA NA 0.0168798
event_time[1] 4.875679 0.9688761 190 1.0022978 2565 903 1 0.0700801 3.7634294 3.9464798 4.266307 4.804135 5.326047 5.664006 6.363037 4.1001671 4.804135 5.496694 0.0160325 0.0077338 0.0046218 0.0029194 0.0175188 0.0871065 4.2828890 0.0533984
event_time[26] 1.748699 0.7221995 348 1.0018952 2202 708 1 0.0387418 1.1500939 1.2421307 1.378540 1.611964 1.950485 4.345783 6.269942 1.3073348 1.611964 2.236744 0.0078624 0.0027420 0.0022210 0.0020368 0.0215265 1.0858815 NA 0.0304259
event_time[9] 6.318899 0.2090511 4856 1.0017708 4367 24995 1 0.0029893 5.3920433 5.5508578 6.378426 6.378426 6.378426 6.378426 6.378426 5.7213164 6.378426 6.378426 0.0148089 0.0122382 NA NA NA NA NA 0.0021259
event_time[29] 6.778381 0.9517329 4349 1.0012447 4608 24995 1 0.0144336 4.7198042 4.8558038 5.124696 7.362870 7.362870 7.362870 7.362870 4.9735216 7.362870 7.362870 0.0097111 0.0082228 0.0082598 NA NA NA NA 0.0102468
event_time[16] 11.183588 0.0340457 4017 1.0011347 3324 24995 1 0.0005297 11.1861111 11.1861111 11.186111 11.186111 11.186111 11.186111 11.186111 11.1861111 11.186111 11.186111 NA NA NA NA NA NA NA 0.0003759
event_time[8] 5.138787 0.1874820 3237 1.0010233 2940 24995 1 0.0032954 4.6044692 4.6681519 4.812254 5.248611 5.248611 5.248611 5.248611 4.7310294 5.248611 5.248611 0.0047137 0.0036355 0.0047927 NA NA NA NA 0.0023450
event_time[32] 3.408209 0.1626985 9558 1.0008416 9659 24995 1 0.0016654 2.9848309 3.0841049 3.215981 3.395023 3.635891 3.635891 3.635891 3.1528793 3.395023 3.635891 0.0064178 0.0048221 0.0019067 0.0018388 NA NA NA 0.0011962
event_time[13] 17.502788 1.5360245 10649 1.0006730 6402 24995 1 0.0148754 5.9693256 16.1167645 17.463826 17.785417 17.785417 17.785417 17.785417 16.9387238 17.785417 17.785417 0.1436671 0.1423953 0.0221749 NA NA NA NA 0.0107589
event_time[33] 6.371805 0.4079456 12205 1.0006613 12822 24995 1 0.0036899 4.2813619 4.9600674 6.382012 6.481875 6.481875 6.481875 6.481875 5.5645998 6.481875 6.481875 0.0754881 0.0406726 0.0437461 NA NA NA NA 0.0026092
event_time[25] 5.175871 0.7542039 12520 1.0003245 15991 10473 1 0.0067327 3.6707779 3.9447394 4.372997 5.073004 6.118828 7.118590 7.544754 4.1470005 5.073004 6.642870 0.0220519 0.0099222 0.0064128 0.0049774 0.0195731 0.0390445 0.0426908 0.0051711
event_time[36] 4.677724 0.4743114 2781 1.0003066 6858 1999 1 0.0089957 2.6278761 2.8982678 4.416408 4.772842 5.002410 5.136365 5.218125 3.7448545 4.772842 5.070451 0.0368783 0.1655454 0.0114252 0.0019571 0.0019856 0.0053017 0.0049394 0.0063889
event_time[11] 5.781847 0.2026715 22361 1.0002821 18644 24995 1 0.0013547 5.4853037 5.7132859 5.803426 5.803426 5.803426 5.803426 5.803426 5.7829587 5.803426 5.803426 0.0637975 0.0060197 NA NA NA NA NA 0.0009617
event_time[4] 5.645559 0.3939573 11045 1.0002171 10099 24995 1 0.0037471 2.9444200 5.6999190 5.699919 5.699919 5.699919 5.699919 5.699919 5.6999190 5.699919 5.699919 0.0543723 NA NA NA NA NA NA 0.0026687
event_time[17] 8.791939 0.2076692 23567 1.0001379 23579 24084 1 0.0013511 8.2737717 8.3647330 8.531850 8.798166 9.040107 9.185581 9.277750 8.4443701 8.798166 9.114589 0.0079430 0.0044768 0.0022835 0.0014045 0.0019850 0.0029933 0.0086002 0.0009554
event_time[15] 1.490736 0.1775040 19525 1.0001286 19436 17106 1 0.0012702 1.0491649 1.1318553 1.269018 1.495115 1.713110 1.829726 1.902405 1.1959856 1.495115 1.775481 0.0071659 0.0042925 0.0020759 0.0012783 0.0023990 0.0029049 0.0080736 0.0009097
event_time[12] 3.076055 0.5329415 21437 1.0001016 21574 19483 1 0.0036399 1.9332106 2.1020104 2.421169 3.051053 3.770501 4.192689 4.398352 2.2447995 3.051053 3.995349 0.0145539 0.0052626 0.0045899 0.0042109 0.0076161 0.0124927 0.0180690 0.0025845
event_time[7] 3.647291 0.2754587 22615 1.0000997 22730 21893 1 0.0018309 3.0032146 3.1225601 3.320404 3.639959 3.978912 4.199444 4.370579 3.2145883 3.639959 4.089383 0.0056310 0.0062971 0.0025689 0.0019167 0.0026776 0.0071705 0.0117144 0.0013019
event_time[5] 25.768319 0.9546741 14342 1.0000994 13537 24995 1 0.0079672 19.9579718 23.8276000 25.913229 25.913229 25.913229 25.913229 25.913229 25.9132292 25.913229 25.913229 0.1435313 1.3313526 NA NA NA NA NA 0.0056680
event_time[20] 3.138594 0.2469788 19621 1.0000938 20679 18368 1 0.0017605 2.5718538 2.6791463 2.841341 3.135116 3.445060 3.622334 3.711936 2.7561349 3.135116 3.537901 0.0081432 0.0036741 0.0022107 0.0021747 0.0033014 0.0046817 0.0084906 0.0013084
event_time[31] 1.352250 0.2591393 11427 1.0000916 20044 17211 1 0.0024234 0.8230577 0.9189103 1.078213 1.354084 1.608545 1.728917 1.796137 0.9914077 1.354084 1.671160 0.0074005 0.0032194 0.0022950 0.0016585 0.0024141 0.0049403 0.0058635 0.0021840
event_time[18] 6.097185 0.0461467 25011 1.0000532 25015 24995 1 0.0002918 6.0977662 6.0977662 6.097766 6.097766 6.097766 6.097766 6.097766 6.0977662 6.097766 6.097766 NA NA NA NA NA NA NA 0.0002063
event_time[37] 8.683327 0.0557980 17972 1.0000323 15535 24995 1 0.0004158 8.4032798 8.5913769 8.691528 8.691528 8.691528 8.691528 8.691528 8.6915278 8.691528 8.691528 0.0125827 0.0119380 NA NA NA NA NA 0.0002949
event_time[23] 12.885403 0.2177508 15515 1.0000107 13596 24995 1 0.0017477 11.5852266 12.1619815 12.925694 12.925694 12.925694 12.925694 12.925694 12.9256944 12.925694 12.925694 0.0253350 0.0446442 NA NA NA NA NA 0.0012399
event_time[27] 10.106734 0.8273293 22818 1.0000031 22753 22871 1 0.0054724 7.6680871 8.1593202 8.986136 10.232412 11.050712 11.374143 11.555178 8.5607177 10.232412 11.238323 0.0312065 0.0293913 0.0107225 0.0066581 0.0059667 0.0071932 0.0101275 0.0038726
event_time[3] 10.051354 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 10.0513542 10.0513542 10.051354 10.051354 10.051354 10.051354 10.051354 10.0513542 10.051354 10.051354 NA NA NA NA NA NA NA NA
event_time[14] 13.309259 0.0000630 25005 1.0000000 25010 24995 1 0.0000004 13.3092593 13.3092593 13.309259 13.309259 13.309259 13.309259 13.309259 13.3092593 13.309259 13.309259 NA NA NA NA NA NA NA 0.0000003
event_time[21] 4.234514 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 4.2345139 4.2345139 4.234514 4.234514 4.234514 4.234514 4.234514 4.2345139 4.234514 4.234514 NA NA NA NA NA NA NA NA
event_time[22] 3.679339 0.0001429 25005 1.0000000 25010 24995 1 0.0000009 3.6793403 3.6793403 3.679340 3.679340 3.679340 3.679340 3.679340 3.6793403 3.679340 3.679340 NA NA NA NA NA NA NA 0.0000006
event_time[10] 3.443036 0.0018296 25009 0.9999557 25014 24995 1 0.0000116 3.4430556 3.4430556 3.443056 3.443056 3.443056 3.443056 3.443056 3.4430556 3.443056 3.443056 NA NA NA NA NA NA NA 0.0000082
event_time[6] 19.407189 0.6714013 22641 0.9999394 23374 21781 1 0.0044570 17.7417180 18.1111487 18.645991 19.433631 20.157302 20.576374 20.797755 18.3596463 19.433631 20.378857 0.0383068 0.0130755 0.0072790 0.0044384 0.0063937 0.0106015 0.0148164 0.0031516
event_time[35] 7.881951 0.0757167 23327 0.9999324 22113 24995 1 0.0004957 7.8285681 7.8863194 7.886319 7.886319 7.886319 7.886319 7.886319 7.8863194 7.886319 7.886319 0.0195727 NA NA NA NA NA NA 0.0003531
event_time[2] 4.412927 0.0442359 23467 0.9998418 22594 24995 1 0.0002887 4.4138889 4.4138889 4.413889 4.413889 4.413889 4.413889 4.413889 4.4138889 4.413889 4.413889 NA NA NA NA NA NA NA 0.0002068
Event indicators \(d_{i}\)
rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
event_indicator[1] 0.9915583 0.0914919 153 1.0332116 154 24995 1 0.0073768 1 1 1 1 1 1 1.00 1 1 1 NA NA NA NA NA NA NA 0.0052261
event_indicator[30] 0.9587918 0.1987755 158 1.0287344 157 24995 1 0.0158812 0 0 1 1 1 1 1.00 1 1 1 0.0 0.5 NA NA NA NA NA 0.0112507
event_indicator[19] 0.9447890 0.2283963 196 1.0282047 187 24995 1 0.0167194 0 0 1 1 1 1 1.00 0 1 1 0.0 0.0 NA NA NA NA NA 0.0118410
event_indicator[26] 0.9877175 0.1101457 187 1.0242627 187 24995 1 0.0080511 0 1 1 1 1 1 1.00 1 1 1 0.5 NA NA NA NA NA NA 0.0057019
event_indicator[28] 0.9566713 0.2036000 273 1.0237738 280 24995 1 0.0121777 0 0 1 1 1 1 1.00 1 1 1 0.0 0.0 NA NA NA NA NA 0.0086199
event_indicator[24] 0.3111022 0.4629538 310 1.0226176 300 24995 1 0.0267269 0 0 0 0 1 1 1.00 0 0 1 0.0 0.0 0 0 NA NA NA 0.0189171
event_indicator[34] 0.0100020 0.0995106 1751 1.0029324 1748 1748 1 0.0023799 0 0 0 0 0 0 0.06 0 0 0 0.0 0.0 0 0 0 0 0.5 0.0016831
event_indicator[9] 0.0888178 0.2844862 4140 1.0018808 4159 24995 1 0.0044113 0 0 0 0 0 1 1.00 0 0 1 0.0 0.0 0 0 0 NA NA 0.0031195
event_indicator[32] 0.8096419 0.3925914 5989 1.0013921 5996 24995 1 0.0050701 0 0 0 1 1 1 1.00 0 1 1 0.0 0.0 0 NA NA NA NA 0.0035853
event_indicator[29] 0.2849370 0.4513935 4189 1.0013545 4189 24995 1 0.0069742 0 0 0 0 1 1 1.00 0 0 1 0.0 0.0 0 0 NA NA NA 0.0049318
event_indicator[16] 0.0071214 0.0840892 3198 1.0011912 3289 3289 1 0.0014662 0 0 0 0 0 0 0.00 0 0 0 0.0 0.0 0 0 0 0 0.0 0.0010369
event_indicator[8] 0.3141428 0.4641829 2558 1.0010776 2558 24995 1 0.0091771 0 0 0 0 1 1 1.00 0 0 1 0.0 0.0 0 0 NA NA NA 0.0064899
event_indicator[13] 0.1508702 0.3579294 6233 1.0007113 6249 24995 1 0.0045280 0 0 0 0 1 1 1.00 0 0 1 0.0 0.0 0 0 NA NA NA 0.0032019
event_indicator[33] 0.1069014 0.3089940 13579 1.0005388 13599 24995 1 0.0026497 0 0 0 0 1 1 1.00 0 0 1 0.0 0.0 0 0 NA NA NA 0.0018737
event_indicator[11] 0.0609722 0.2392841 18380 1.0003144 18390 24995 1 0.0017645 0 0 0 0 0 1 1.00 0 0 1 0.0 0.0 0 0 0 NA NA 0.0012477
event_indicator[4] 0.0228046 0.1492830 10067 1.0002311 10072 10072 1 0.0014875 0 0 0 0 0 0 1.00 0 0 0 0.0 0.0 0 0 0 0 NA 0.0010518
event_indicator[5] 0.0264853 0.1605766 13346 1.0001103 13360 13360 1 0.0013893 0 0 0 0 0 1 1.00 0 0 0 0.0 0.0 0 0 0 NA NA 0.0009824
event_indicator[18] 0.0001600 0.0126496 25011 1.0000445 25016 25016 1 0.0000800 0 0 0 0 0 0 0.00 0 0 0 0.0 0.0 0 0 0 0 0.0 0.0000566
event_indicator[23] 0.0463293 0.2102014 13225 1.0000422 13228 13228 1 0.0018277 0 0 0 0 0 1 1.00 0 0 0 0.0 0.0 0 0 0 NA NA 0.0012924
event_indicator[37] 0.0390878 0.1938078 15577 1.0000116 15594 15594 1 0.0015520 0 0 0 0 0 1 1.00 0 0 0 0.0 0.0 0 0 0 NA NA 0.0010975
event_indicator[3] 0.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 0 0 0 0 0 0 0.00 0 0 0 NA NA NA NA NA NA NA NA
event_indicator[6] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1.00 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[7] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1.00 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[12] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1.00 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[14] 0.0000400 0.0063252 25005 1.0000000 25010 25010 1 0.0000400 0 0 0 0 0 0 0.00 0 0 0 0.0 0.0 0 0 0 0 0.0 0.0000283
event_indicator[15] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1.00 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[17] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1.00 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[20] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1.00 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[21] 0.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 0 0 0 0 0 0 0.00 0 0 0 NA NA NA NA NA NA NA NA
event_indicator[22] 0.0000400 0.0063252 25005 1.0000000 25010 25010 1 0.0000400 0 0 0 0 0 0 0.00 0 0 0 0.0 0.0 0 0 0 0 0.0 0.0000283
event_indicator[25] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1.00 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[27] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1.00 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[31] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1.00 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[36] 1.0000000 0.0000000 NA 1.0000000 24995 24995 1 0.0000000 1 1 1 1 1 1 1.00 1 1 1 NA NA NA NA NA NA NA NA
event_indicator[10] 0.0001200 0.0109551 25010 0.9999555 25014 25014 1 0.0000693 0 0 0 0 0 0 0.00 0 0 0 0.0 0.0 0 0 0 0 0.0 0.0000490
event_indicator[35] 0.0123225 0.1103227 22072 0.9999385 22075 22075 1 0.0007425 0 0 0 0 0 0 1.00 0 0 0 0.0 0.0 0 0 0 0 NA 0.0005251
event_indicator[2] 0.0007201 0.0268264 22531 0.9998444 22535 22535 1 0.0001787 0 0 0 0 0 0 0.00 0 0 0 0.0 0.0 0 0 0 0 0.0 0.0001264

\(\psi_{2}\)

rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
theta[18] -0.5985797 0.2576051 8605 1.0014028 8977 21775 1 0.0027098 -1.2160435 -1.1097943 -0.9290818 -0.5947574 -0.2702264 -0.1036914 -0.0129445 -1.0236239 -0.5947574 -0.1817351 0.0050443 0.0051629 0.0030927 0.0028315 0.0033653 0.0031629 0.0060877 0.0019162
theta[17] 0.0384855 0.2414625 16107 1.0011974 16200 22569 1 0.0018962 -0.5309471 -0.4387832 -0.2700030 0.0387185 0.3467310 0.5133762 0.5955418 -0.3589895 0.0387185 0.4360004 0.0063827 0.0053308 0.0027277 0.0023007 0.0027122 0.0039318 0.0047733 0.0013409
theta[14] -0.0034223 0.2852524 8518 1.0011252 8808 22101 1 0.0030518 -0.6870788 -0.5744539 -0.3711555 -0.0013174 0.3598026 0.5433497 0.6430294 -0.4791267 -0.0013174 0.4599873 0.0091697 0.0062582 0.0036954 0.0025358 0.0027763 0.0039357 0.0065630 0.0021580
alpha -0.5526900 0.1362978 6570 1.0010470 6715 15665 1 0.0016674 -0.8882700 -0.8287204 -0.7295275 -0.5483497 -0.3804641 -0.2954402 -0.2525944 -0.7824253 -0.5483497 -0.3357856 0.0042988 0.0037086 0.0019159 0.0016997 0.0016287 0.0024477 0.0027411 0.0011791
theta[6] 0.1943471 0.2260032 15989 1.0009707 16160 23033 1 0.0017758 -0.3367188 -0.2546699 -0.0933180 0.1953999 0.4828924 0.6353201 0.7234371 -0.1780981 0.1953999 0.5657547 0.0064335 0.0049979 0.0028849 0.0019816 0.0023415 0.0032065 0.0065516 0.0012557
theta[12] -0.0763758 0.3298743 10896 1.0008270 11588 20053 1 0.0031040 -0.8867450 -0.7506857 -0.5042193 -0.0676081 0.3391638 0.5518317 0.6679563 -0.6349328 -0.0676081 0.4514202 0.0084141 0.0068157 0.0047648 0.0028721 0.0030589 0.0049094 0.0074344 0.0021949
theta[15] -0.1247164 0.3101152 9479 1.0005052 9635 23221 1 0.0031649 -0.8700924 -0.7472734 -0.5244428 -0.1188894 0.2639822 0.4721725 0.5862566 -0.6431718 -0.1188894 0.3790370 0.0077153 0.0053714 0.0037956 0.0031262 0.0035392 0.0058109 0.0079809 0.0022380
theta[1] -0.1604030 0.4078003 15092 1.0004530 15159 22069 1 0.0033119 -1.1134628 -0.9594911 -0.6837817 -0.1624570 0.3644010 0.6450869 0.7838958 -0.8237500 -0.1624570 0.5099512 0.0090118 0.0059057 0.0051570 0.0043271 0.0057901 0.0082022 0.0116365 0.0023419
theta[9] -0.3017117 0.2666852 20396 1.0003825 20472 23589 1 0.0018646 -0.9394345 -0.8414221 -0.6457797 -0.2948182 0.0349649 0.2028996 0.2911798 -0.7512096 -0.2948182 0.1294676 0.0063485 0.0059810 0.0031966 0.0022134 0.0030023 0.0032779 0.0073948 0.0013185
theta[13] -0.0960448 0.3311588 14828 1.0003474 14845 22577 1 0.0027171 -0.9044732 -0.7718713 -0.5272711 -0.0860079 0.3193601 0.5263085 0.6387908 -0.6606966 -0.0860079 0.4303725 0.0076115 0.0065546 0.0037242 0.0028680 0.0034374 0.0052418 0.0080060 0.0019213
theta[2] -0.1706932 0.2260866 15732 1.0003196 15804 22691 1 0.0017993 -0.7030734 -0.6185855 -0.4585324 -0.1714990 0.1187700 0.2725738 0.3581351 -0.5418233 -0.1714990 0.2013484 0.0043575 0.0048390 0.0029381 0.0022184 0.0026442 0.0033868 0.0080769 0.0012723
theta[7] -0.0221762 0.3003201 15948 1.0003110 16169 22172 1 0.0023723 -0.7391276 -0.6241418 -0.4079733 -0.0196694 0.3611963 0.5509553 0.6565972 -0.5188658 -0.0196694 0.4595665 0.0070604 0.0057589 0.0036093 0.0026871 0.0034387 0.0052449 0.0084446 0.0016775
theta[11] -0.1728284 0.2645956 16501 1.0002887 16606 22512 1 0.0020537 -0.8109874 -0.7065354 -0.5175539 -0.1685005 0.1629493 0.3337807 0.4210134 -0.6187272 -0.1685005 0.2535841 0.0070778 0.0057038 0.0032496 0.0023788 0.0030587 0.0036291 0.0045243 0.0014522
theta[10] 0.0645613 0.2218552 15249 1.0002427 15137 23444 1 0.0018017 -0.4485696 -0.3667073 -0.2179922 0.0647774 0.3469879 0.5001424 0.5817901 -0.3012586 0.0647774 0.4274979 0.0046193 0.0032714 0.0025340 0.0021958 0.0024403 0.0038987 0.0055308 0.0012740
theta[5] 0.1345820 0.2729642 15428 1.0001945 15667 22824 1 0.0021820 -0.5032175 -0.3983015 -0.2143030 0.1331545 0.4855971 0.6728758 0.7680736 -0.3116774 0.1331545 0.5857342 0.0084688 0.0071657 0.0033274 0.0023101 0.0031287 0.0045481 0.0059569 0.0015429
theta[8] -0.0737462 0.2848095 23192 1.0001934 23215 23838 1 0.0018697 -0.7373466 -0.6330903 -0.4382499 -0.0714983 0.2906806 0.4820667 0.5822362 -0.5418640 -0.0714983 0.3909633 0.0072069 0.0050438 0.0031597 0.0022939 0.0031432 0.0050538 0.0085912 0.0013221
theta[16] 0.0279014 0.2375613 16002 1.0000938 16157 22423 1 0.0018685 -0.5231698 -0.4362892 -0.2756665 0.0281522 0.3313438 0.4882065 0.5783192 -0.3619619 0.0281522 0.4180201 0.0083777 0.0041805 0.0029716 0.0022384 0.0028703 0.0050584 0.0081739 0.0013212
theta[3] -0.2881137 0.2342745 19949 1.0000819 20010 23991 1 0.0016556 -0.8410359 -0.7492301 -0.5890161 -0.2866929 0.0110750 0.1690857 0.2561914 -0.6740179 -0.2866929 0.0938753 0.0067709 0.0044548 0.0030308 0.0021242 0.0025482 0.0042327 0.0063089 0.0011707
theta[4] -0.1998094 0.2901479 20476 1.0000738 20557 23938 1 0.0020211 -0.8948230 -0.7842302 -0.5759454 -0.1924711 0.1648567 0.3551373 0.4538776 -0.6861965 -0.1924711 0.2675945 0.0097374 0.0045271 0.0032188 0.0021879 0.0034598 0.0058192 0.0067657 0.0014292
hazard_gamma 0.6944677 0.1239401 16821 0.9999631 17010 21960 1 0.0009491 0.4323380 0.4683846 0.5400467 0.6884412 0.8577929 0.9518234 1.0091080 0.5004831 0.6884412 0.9065455 0.0021079 0.0017051 0.0013056 0.0010702 0.0017109 0.0024388 0.0036147 0.0006711

Point (marginal median value)

\(\psi_{2}\)

rowname mean sd n_eff Rhat Bulk_ESS Tail_ESS valid se_mean 1% 2.5% 10% 50% 90% 97.5% 99% Q5 Q50 Q95 MCSE_Q1 MCSE_Q2.5 MCSE_Q10 MCSE_Q50 MCSE_Q90 MCSE_Q97.5 MCSE_Q99 MCSE_SD
theta[7] 0.0730025 0.2842299 23055 1.000449 23095 19265 1 0.0018701 -0.6015900 -0.4892426 -0.2900575 0.0752013 0.4326156 0.6240256 0.7228466 -0.3946050 0.0752013 0.5360466 0.0102298 0.0056740 0.0037587 0.0024850 0.0029437 0.0035097 0.0066977 0.0016732
theta[9] -0.2243803 0.2427366 23014 1.000279 23137 20169 1 0.0015962 -0.8106640 -0.7049611 -0.5364807 -0.2220580 0.0855202 0.2443877 0.3272748 -0.6274410 -0.2220580 0.1699086 0.0070116 0.0050764 0.0030940 0.0019133 0.0030072 0.0039682 0.0057796 0.0012264
theta[14] 0.0429668 0.2639102 23679 1.000272 23750 19284 1 0.0017118 -0.5840914 -0.4853277 -0.2955057 0.0468194 0.3776558 0.5555005 0.6441933 -0.3985295 0.0468194 0.4722295 0.0089097 0.0037916 0.0029944 0.0018583 0.0021870 0.0040782 0.0060988 0.0014529
theta[2] -0.1201214 0.2029429 28837 1.000215 28906 20362 1 0.0011937 -0.5874076 -0.5131217 -0.3779443 -0.1219361 0.1404544 0.2824856 0.3632667 -0.4493630 -0.1219361 0.2172281 0.0045017 0.0044198 0.0022398 0.0014612 0.0026623 0.0039834 0.0058404 0.0010680
theta[5] 0.2518754 0.2599266 23301 1.000210 23364 19760 1 0.0017010 -0.3497910 -0.2495252 -0.0787648 0.2504536 0.5872578 0.7616306 0.8659682 -0.1720992 0.2504536 0.6789553 0.0060134 0.0050371 0.0026767 0.0021281 0.0031594 0.0053175 0.0074783 0.0013330
theta[3] -0.1899816 0.2181209 24059 1.000195 24125 20782 1 0.0014055 -0.6919081 -0.6136473 -0.4693305 -0.1905890 0.0905448 0.2389098 0.3219679 -0.5489774 -0.1905890 0.1699832 0.0059673 0.0037080 0.0019082 0.0016443 0.0020431 0.0043730 0.0069793 0.0010826
hazard_gamma 0.7657060 0.1161665 30348 1.000187 30035 18646 1 0.0006666 0.5153334 0.5508995 0.6197861 0.7612566 0.9171841 1.0051105 1.0573965 0.5820223 0.7612566 0.9642125 0.0019315 0.0021773 0.0013468 0.0008937 0.0014019 0.0022421 0.0038943 0.0004717
theta[6] 0.1387138 0.2030628 30433 1.000154 30481 19533 1 0.0011632 -0.3367580 -0.2642173 -0.1217611 0.1422744 0.3995722 0.5318161 0.6072014 -0.1985753 0.1422744 0.4678387 0.0045885 0.0041343 0.0026499 0.0015487 0.0024400 0.0032264 0.0046040 0.0010367
theta[16] 0.0149771 0.2149548 28632 1.000150 28643 20115 1 0.0012699 -0.4925270 -0.4111615 -0.2618505 0.0169449 0.2878678 0.4361872 0.5177731 -0.3411683 0.0169449 0.3672908 0.0043753 0.0039697 0.0029207 0.0015197 0.0024463 0.0046879 0.0062445 0.0012699
theta[12] -0.0156104 0.2973073 22995 1.000144 23041 19373 1 0.0019597 -0.7160966 -0.6083581 -0.4012186 -0.0136097 0.3678619 0.5559780 0.6538020 -0.5103732 -0.0136097 0.4698731 0.0079247 0.0072922 0.0042026 0.0022192 0.0035978 0.0059668 0.0063218 0.0018246
theta[4] -0.0583396 0.2579044 26776 1.000140 26733 19351 1 0.0015756 -0.6627259 -0.5705497 -0.3890739 -0.0562318 0.2706554 0.4394802 0.5282185 -0.4831500 -0.0562318 0.3616079 0.0077739 0.0052474 0.0030367 0.0020474 0.0025445 0.0046807 0.0075592 0.0014693
theta[8] -0.1417320 0.2794459 23550 1.000118 23558 19624 1 0.0018209 -0.7835485 -0.6880738 -0.4983552 -0.1408130 0.2156317 0.4083230 0.5076928 -0.5984910 -0.1408130 0.3191135 0.0066748 0.0051104 0.0034777 0.0021816 0.0037844 0.0052053 0.0099411 0.0015554
theta[11] -0.0440057 0.2435545 24499 1.000118 24575 20760 1 0.0015552 -0.6361805 -0.5394667 -0.3577821 -0.0396473 0.2630172 0.4212409 0.5019928 -0.4548694 -0.0396473 0.3457259 0.0076132 0.0041037 0.0032190 0.0021497 0.0024003 0.0042978 0.0059604 0.0013499
theta[10] -0.0683647 0.2001392 26207 1.000109 26248 20943 1 0.0012358 -0.5439345 -0.4637133 -0.3261002 -0.0656211 0.1863596 0.3176731 0.3878921 -0.3980411 -0.0656211 0.2574312 0.0058674 0.0049606 0.0023235 0.0014600 0.0023443 0.0037967 0.0045997 0.0010882
theta[18] -0.3178635 0.2236860 26809 1.000041 26967 20697 1 0.0013622 -0.8471646 -0.7570067 -0.6092597 -0.3154398 -0.0329684 0.1108232 0.1930283 -0.6903974 -0.3154398 0.0450722 0.0096697 0.0050576 0.0023793 0.0015942 0.0023795 0.0033418 0.0035145 0.0010509
alpha -0.3438498 0.1061250 23602 1.000039 23829 19010 1 0.0006903 -0.6045800 -0.5591571 -0.4808670 -0.3411498 -0.2094924 -0.1466224 -0.1097100 -0.5233230 -0.3411498 -0.1756154 0.0035322 0.0030134 0.0015092 0.0008993 0.0010985 0.0016602 0.0020767 0.0005064
lp__ -110.0083107 3.2201262 10474 1.000037 10545 16663 1 0.0314323 -119.0393449 -117.2417446 -114.3019672 -109.6846549 -106.1453017 -104.7045796 -104.0370457 -115.7782323 -109.6846549 -105.3197377 0.1434238 0.0952933 0.0509051 0.0354080 0.0296880 0.0388458 0.0374008 0.0222266
theta[1] -0.5278251 0.3733018 22507 1.000035 22534 17954 1 0.0024874 -1.3869830 -1.2523212 -1.0078400 -0.5267511 -0.0499366 0.1969033 0.3374158 -1.1400796 -0.5267511 0.0864852 0.0100239 0.0077828 0.0041176 0.0034036 0.0040706 0.0073015 0.0087830 0.0018385
theta[15] -0.2063591 0.2836647 24303 1.000030 24338 19862 1 0.0018184 -0.8798670 -0.7727215 -0.5732278 -0.2032536 0.1557636 0.3432830 0.4398179 -0.6799669 -0.2032536 0.2543256 0.0047136 0.0047558 0.0031679 0.0024300 0.0032675 0.0059868 0.0079274 0.0014748
theta[17] 0.2256105 0.2194419 26097 1.000021 26099 20497 1 0.0013579 -0.2942883 -0.2130947 -0.0547707 0.2274859 0.5064627 0.6501758 0.7302860 -0.1376326 0.2274859 0.5860920 0.0043790 0.0041457 0.0029495 0.0014965 0.0025113 0.0034379 0.0046270 0.0010561
theta[13] -0.0018243 0.2883119 22189 1.000001 22220 18699 1 0.0019338 -0.6893521 -0.5749622 -0.3738471 -0.0000570 0.3653423 0.5540465 0.6577784 -0.4746821 -0.0000570 0.4663002 0.0086818 0.0065536 0.0035720 0.0024793 0.0032264 0.0062436 0.0057851 0.0017547

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